01
Candidate Role & Core Responsibilities
You are the Finance Executive – Operations and Costing Support at Nisala Garments. Your role bridges the finance and production functions — you don't make final decisions, but your analysis directly influences them. You work with the Finance Manager, Production Manager, IE team, and Planning & Merchandising team.
Your Mandate
Reporting Structure
FM
Finance Manager
Direct Reporting Line
PM
Production Manager
Works closely with
IE
IE Team
Interprets operational metrics
P&M
Planning & Merchandising
Coordinates with
Core Responsibilities
- Review material consumption & fabric utilisation data
- Analyse labour productivity, downtime, line efficiency
- Monitor standard costing & cost variances
- Support process improvement evaluations
- Identify root causes of inefficiency with IE team
- Flag trends affecting gross margins & working capital
✦ Key Highlights
- Dual focus: financial AND operational data
- Support role — analysis, not final decisions
- Critical during batch→line production transition
✓ What Nisala Does
- Finance Executive role clearly defined
- Cross-departmental coordination structure exists
- Monthly variance discussions held
⚠ The Gaps
- No real-time cost visibility for the exec
- Manual data limits timely analysis
- Reactive rather than proactive cost monitoring
📌 Student Notes
- All exam tasks will flow from THIS role
- Your analysis must always consider operational feasibility + cost impact
- Ethics & professional judgement are explicitly expected
Exam Tip: The phrase "apply your power and integrity skills" signals that the examiner expects you to go beyond numbers — communicate clearly, show business acumen, and flag ethical concerns where relevant. Don't just calculate; interpret and recommend.
Syllabus Chapter Mapping — Your Role Activates All of These
CH A
Cost Analysis & Variance
Fabric, labour & overhead variances
CH B
Operations & Productivity
Line efficiency, downtime, rework
CH C
Financial Performance
GP%, ratios, WC cycle, margins
CH D
Risk & Governance
Risk register, internal controls, ERM
CH E
Strategy & Integration
ESG, cross-functional, stakeholders
02
Company Introduction
Nisala Garments (Pvt) Ltd was founded in 2016 by Sandun Perera in the Gampaha District, Sri Lanka. A B2B domestic-only garment manufacturer (~320 employees), it supplies casual knitwear, fashion wear, and school garments to local retailers. Revenue has grown steadily but scaling has introduced cost and operational pressures.
Snapshot Metrics
2016Founded
320Total Employees
250Production Workers
1Manufacturing Facility
0Export Markets
Management Team
👔
Sandun Perera
Managing Director
⚙️
Ruwan Fernando
Production Manager
📊
Ishara Wijesinghe
Finance Manager
🗓️
Tharushi Silva
Planning & Merch
👥
Chamara Jayasekara
HR & Admin
✦ Key Highlights
- Domestic-only SME — no export buffer
- Founder still MD — centralised authority
- Transitioning batch → line production
- Gross margin target: 28–30%
✓ What Nisala Does
- Clear vision/mission with OpEx emphasis
- B2B model reduces sales overhead
- Monthly management review meetings
- 5 core values including continuous improvement
⚠ The Gaps
- Over-dependence on domestic market only
- Single facility = concentration risk
- Currency depreciation hits fabric costs hard
- Working capital strains from scaling
📌 Student Notes
- Vision explicitly states "cost efficiency" — signals exam focus areas
- Founder-managed = decisions slower, personalised
- Key driver: fabric cost management (largest cost component)
SWOT Analysis — Nisala Garments
03
Industry & Market Overview
The Sri Lankan domestic garment market is highly price-sensitive, driven by expansion of fashion retail chains and supermarket brands. Nisala competes against four named local rivals on unit pricing, lead time, quality, and fabric efficiency. Imported fabrics expose all local manufacturers to currency risk. Global trends (faster cycles, sustainability) are starting to influence local buyer expectations.
Competitive Landscape
Key Competitors
- LankaStyle Apparel (Pvt) Ltd
- Serendib Fashion Works (Pvt) Ltd
- UrbanThread Manufacturing (Pvt) Ltd
- CeyTrend Clothing Industries (Pvt) Ltd
Competition Basis
Unit PricingCritical
Lead TimeVery High
Quality ConsistencyHigh
Fabric UtilisationHigh
✦ Key Highlights
- Price-sensitive middle-income segment dominates
- Retailers now want faster, smaller collections
- Ethical sourcing & labour standards rising
- Imports add pricing pressure via exchange rates
✓ What Nisala Does
- Focuses on affordable value-oriented products
- Competes on price + reliability + quality
- B2B model aligns with retailer demand patterns
⚠ The Gaps
- No hedging strategy for currency/fabric risk
- No differentiation strategy articulated
- Slow responsiveness to style changes (3–4hr changeovers)
📌 Student Notes
- Market forces link directly to Nisala's cost pressures
- Use industry context to justify any recommendations
- Currency depreciation → fabric cost → margin compression: understand this chain
Porter's Five Forces — Applied to Nisala
⬆ THREAT OF NEW ENTRANTS — Low-Medium
Capital needed for machinery, facility & workforce creates barriers. Established retailer relationships are hard to replicate quickly. However, small workshops can enter with lower volumes.
⬅ SUPPLIER POWER — High
Fabric is imported — Nisala has limited control over price. Currency depreciation directly passes through to COGS. Few local fabric substitutes available. This is the #1 financial risk.
🏭
NISALA
Domestic B2B
SME Manufacturer
SME Manufacturer
➡ BUYER POWER — High
Retail chains & supermarket brands can switch suppliers. Buyers negotiate hard on unit price. Concentrated buyer base means losing one account is significant. Retailers control order timing and style specs.
⬇ COMPETITIVE RIVALRY — High
4 named direct competitors (LankaStyle, Serendib, UrbanThread, CeyTrend). All compete on the same dimensions: price, lead time, quality, fabric efficiency. No product differentiation. Price is the primary battleground.
PESTEL — Macro Factors Hitting Nisala Directly
🏛 POLITICAL
Import policies affect fabric cost. Labour law enforcement on overtime. EPF/ETF regulatory requirements.
💰 ECONOMIC ⚠ HIGH IMPACT
LKR depreciation → imported fabric prices rise → GP% compressed. 2024 dip to 27% proves this chain. Inflation affects labour costs.
👥 SOCIAL
Growing middle class = affordable clothing demand. Shorter fashion cycles. Consumer awareness of ethical production rising.
⚙ TECHNOLOGICAL ⚠ OPPORTUNITY
IoT monitoring, ERP integration, real-time dashboards — Nisala currently lags. Automation could close the 7% efficiency gap.
🌿 ENVIRONMENTAL
Fabric waste disposal. Energy and water usage. Retailer ESG audits becoming more frequent. Reusable remnants policy in place.
⚖ LEGAL
EPF, ETF, Inland Revenue compliance. Overtime hour limits under labour law. No penalties to date but retailer standards tightening.
04
Business Model & Product/Service Portfolio
Nisala operates a cost-plus B2B model — manufacturing against confirmed purchase orders for local retailers. Three product categories (casual knitwear 55%, fashion wear 30%, school garments 15%) with target gross margin of 28–30%. Fabric cost is the dominant cost driver. The shift to larger-volume, line-based production is creating coordination and costing challenges.
Revenue Composition
Casual Knitwear — 55% (Largest revenue driver)
Basic Fashion Wear — 30%
School Garments — 15% (Stable year-round demand)
Pricing & Margin Structure
Cost+Pricing Approach
28–30%Target Gross Margin
58%Fabric as % of COGS
22%Direct Labour % COGS
20%Overheads % COGS
✦ Key Highlights
- Fabric at 58% of COGS = #1 lever to protect margins
- No retail outlets, no exports — pure B2B local
- Seasonal, style-driven orders need careful planning
✓ What Nisala Does
- Cost-plus pricing protects target margins
- Confirmed PO model reduces demand uncertainty
- School garments provide stable base revenue
⚠ The Gaps
- No real-time per-style cost visibility
- Production data not integrated with costing
- Scaling has disrupted small-batch planning processes
📌 Student Notes
- Understand cost-plus pricing formula: fabric + labour + OH + margin
- Fabric wastage directly attacks the margin target
- The "transition" from batch to line production = exam scenario trigger
📐 Worked Example — Cost-Plus Pricing (Based on Pre-Seen Data)
Assumptions: FY2025 COGS = LKR 1,562M on revenue of LKR 2,200M. 4,100 units/day × ~250 working days = ~1,025,000 units/year. Cost per unit derived from COGS ÷ units.
| Cost Component | % of COGS | LKR per Unit (approx) | LKR Million (FY2025) |
|---|---|---|---|
| Fabric Cost | 58% | ≈ 884 | 906 |
| Direct Labour | 22% | ≈ 336 | 344 |
| Factory Overheads | 20% | ≈ 305 | 312 |
| Total COGS | 100% | ≈ 1,524 | 1,562 |
| Target GP (29%) | — | ≈ 624 | 638 |
| Selling Price | — | ≈ 2,147 | 2,200 |
* Unit counts are approximations for illustration. Actual per-unit data not disclosed in pre-seen. Formula: Selling Price = COGS ÷ (1 − Target GP%)
📊 Margin Sensitivity — What Happens If Fabric Cost Changes?
Fabric = 58% of COGS. FY2025 COGS = LKR 1,562M. Revenue held constant at LKR 2,200M. Selling price fixed (cannot immediately be passed on to retailer).
| Fabric Cost Change | Additional COGS (LKR M) | New COGS (LKR M) | New GP (LKR M) | New GP% | Status |
|---|---|---|---|---|---|
| −5% (improvement) | −45 | 1,517 | 683 | 31.0% | ABOVE TARGET |
| No change (baseline) | — | 1,562 | 638 | 29.0% | ON TARGET |
| +5% increase | +45 | 1,607 | 593 | 27.0% | BELOW TARGET |
| +10% increase | +91 | 1,653 | 547 | 24.9% | CRITICAL |
| +15% increase | +136 | 1,698 | 502 | 22.8% | CRITICAL |
⚠ A +5% fabric cost increase with no pricing adjustment replicates the 2024 GP% dip (27%) — matching actual pre-seen data. This validates the sensitivity model.
05
Organisational Structure, Leadership & Governance
Nisala has a functional structure with centralised decision-making under the founder-MD. No formal board or independent committees exist. Governance is operational rather than strategic. Capital decisions require MD approval. Monthly management meetings are the primary coordination mechanism. Coordination challenges emerge during peak production periods.
Decision-Making Flow
Managing Director
Final Authority
Final Authority
→
Production Manager
Day-to-day ops
Day-to-day ops
Finance Manager
Cost discipline
Cost discipline
Planning & Merch
Order scheduling
Order scheduling
HR & Admin
Labour & OT
Labour & OT
✦ Key Highlights
- Centralised authority slows capital decisions
- No formal ERM or board structure (SME norm)
- Finance Manager key to cost discipline
- Monthly meetings are primary governance tool
✓ What Nisala Does
- Clear departmental responsibilities defined
- Approval limits for purchases exist
- Segregation of duties in finance function
- Monthly variance discussions held
⚠ The Gaps
- No independent board or audit committee
- Governance is reactive, not strategic
- Peak period coordination breaks down
- Manual reporting delays corrective action
📌 Student Notes
- SME governance limitations are acknowledged — don't expect best-practice board structure
- Recognise the Finance Manager → you as the cost analysis chain
- Centralised decisions = bottleneck for process improvements
Decision Authority Matrix — Who Approves What?
| Decision Type | Examples | Authority | Your Role |
|---|---|---|---|
| Strategic / Capital | Automation investment, ERP system, facility expansion | MD Only | Provide cost-benefit analysis & feasibility report |
| Operational Process | Line changeover scheduling, rework procedures, maintenance | Dept Managers | Flag cost impact; support IE team analysis |
| Fabric Procurement | Supplier selection, order quantities, price negotiation | Finance + Production | Review material consumption & variance reports |
| Overtime Approval | Extended shifts during peak periods | HR Manager | Monitor labour cost impact & productivity decline |
| Month-End Variances | Fabric usage variance, labour efficiency variance | Finance Manager | Prepare analysis, identify root causes, present findings |
SME Governance Gap Analysis — Current vs Best Practice
❌ What Nisala Lacks
- No independent board or non-executive directors
- No audit committee to review internal controls
- No formal risk register with likelihood/impact scoring
- No strategic governance — only operational governance
- Manual reporting creates information lags
✅ Proportionate SME Recommendations
- Appoint an external advisor for capital decisions (low cost)
- Introduce a simple risk register reviewed quarterly
- Formalise monthly meeting minutes & action tracking
- Introduce KPI dashboard — accessible to all managers
- Segregation of procurement approval and payment (already partial)
06
Operations, Facility, Technology & Real-Time Costing
Single Gampaha facility with 6 sewing lines, 4,800 garment/day capacity. Current line efficiency 78% vs 85% target. Rework rate 4.5%, machine downtime 6–8%, changeover time 3–4 hours. Standard costing system used with month-end only variance analysis. No real-time production-cost integration. This is the most operationally critical section for exam purposes.
Capacity & Performance Dashboard
4,800Installed Capacity (units/day)
4,100Normal Output (units/day)
85%Normal Utilisation
92%Peak Utilisation
2.05Normal Output/Labour Hr
1.93Peak Output/Labour Hr ↓
Sewing Line KPIs vs Targets
Line Efficiency
78% actual vs 85% target ⚠
Rework Rate (lower = better)
4.5% — above acceptable threshold
Sewing Machine Downtime
6–8% of production time
Cutting Machine Downtime
~5% of production time
Style Changeover Time
3–4 hours per changeover
✦ Key Highlights
- Overtime ≠ proportional output increase (critical insight)
- 7% efficiency gap costs margin every period
- No real-time monitoring = delayed corrective action
- Standard costing reviewed only monthly
✓ What Nisala Does
- Standard costing system in place
- Month-end variance analysis conducted
- Preventive maintenance carried out periodically
- Sequential facility layout supports flow
⚠ The Gaps
- No real-time downtime monitoring system
- Production data not integrated with costing
- No per-style cost visibility for managers
- Style changeovers 3–4hrs disrupt production balance
- No preventive maintenance documentation system
📌 Student Notes
- The efficiency gap (78% vs 85%) = most likely exam calculation area
- Rework = hidden cost: adds labour time + possible material waste
- Recommend: real-time production dashboards, SMED for changeovers, integrated ERP
- Peak overtime paradox is a key discussion point
Critical Exam Alert: This section is the heart of the pre-seen. The gap between actual (78%) and target (85%) line efficiency, combined with month-end-only variance analysis, is the primary operational problem. Any exam question on process improvement, cost savings, or investment feasibility will anchor here.
📐 Quantified Cost of the Efficiency Gap — LKR Impact
Based on: 4,800 units/day installed capacity. Revenue per unit ≈ LKR 2,147 (derived from Section 4). COGS per unit ≈ LKR 1,524. GP per unit ≈ LKR 624. Working days ≈ 250/year.
At 85% Target Efficiency
4,080
units/day
At 78% Actual Efficiency
3,744
units/day
Daily Output Lost
336
units/day gap
| Calculation Step | Units / Amount | Notes |
|---|---|---|
| Daily output lost (7% gap × 4,800) | 336 units/day | 4,800 × 7% = 336 |
| Annual output lost (× 250 days) | 84,000 units/year | 336 × 250 |
| Revenue foregone (× LKR 2,147) | LKR 180M/year | 84,000 × 2,147 |
| Gross Profit foregone (× LKR 624/unit) | LKR 52.4M/year | 84,000 × 624 |
| Rework cost (4.5% of 3,744 units × direct labour/unit) | ≈ LKR 15M/year | Estimated additional labour |
| Total estimated annual cost of inefficiency | ≈ LKR 67M+/year | GP lost + rework costs |
* These are illustrative calculations for exam preparation. Actual per-unit data not provided in pre-seen. The LKR 67M figure demonstrates why this efficiency gap is the #1 operational priority.
🐟 Fishbone (Ishikawa) — Root Causes of Low Line Efficiency at Nisala
EFFECT: Line Efficiency 78% vs 85% Target
🔧 MACHINE
- Sewing machine downtime 6–8%
- Cutting machine downtime ~5%
- No real-time downtime monitoring
- Periodic (not scheduled) preventive maintenance
👷 MANPOWER
- Output per hour drops during overtime (2.05→1.93)
- Operator fatigue during peak periods
- Stitching inconsistencies causing 4.5% rework
- Skill gaps — basic upskilling only
📋 METHOD
- Style changeovers take 3–4 hours
- No SMED methodology in place
- Month-end-only variance analysis — delayed correction
- Batch planning not fully aligned with line production
🧵 MATERIAL
- Material transfer delays from cutting to sewing
- Fabric inconsistencies causing rework
- No real-time material consumption tracking
- Off-cuts not managed in real-time
📊 MEASUREMENT
- No real-time production dashboard
- Supervisory monitoring only — manual
- No per-style cost performance visibility
- Variances identified weeks after occurring
🏭 ENVIRONMENT
- Facility designed for batch — adapted for line production
- Style changeovers disrupt production balance
- Peak period coordination between depts breaks down
- Single facility = no buffer if disrupted
07
Risk Management, Compliance & Internal Controls
No formal ERM department exists. Risk is monitored through monthly operational discussions. Internal controls are basic but appropriate for an SME — approved supplier lists, purchase approval limits, segregation of duties, monthly inventory counts. Key limitations: manual reporting, no real-time material monitoring, no formal risk register.
Risk Register
| Category | Risk Description | Level |
|---|---|---|
| Financial | Increase in imported fabric prices (currency impact) | HIGH |
| Financial | Margin compression due to rising input costs | HIGH |
| Operational | Fabric waste and cutting inefficiency | MEDIUM |
| Operational | Production downtime and changeover delays | MEDIUM |
| Operational | Reduced labour productivity during peak periods | MEDIUM |
| Financial | Working capital cycle extension | MEDIUM |
| Compliance | Inventory control weaknesses | MEDIUM |
| Compliance | Labour regulation compliance (overtime limits) | LOW–MED |
✦ Key Highlights
- Fabric cost volatility = #1 financial risk
- Compliance with EPF/ETF/Tax — currently clean
- Inventory control weaknesses identified
- Retailer ethical sourcing expectations rising
✓ What Nisala Does
- Approved supplier list maintained
- Purchase approval limits in place
- Monthly physical inventory counts
- OT approval process through HR
- Receivables & payables reconciled monthly
⚠ The Gaps
- No formal risk register or scoring framework
- No ERM department or dedicated function
- No real-time material consumption monitoring
- Heavy reliance on manual, supervisory controls
- No preventive maintenance documentation
📌 Student Notes
- Exam may ask you to recommend a formal risk register — know the components
- Internal controls are "appropriate for SME" — frame recommendations proportionally
- Overtime compliance risk could become exam scenario if retailer audits occur
Risk Response Matrix — Treat / Tolerate / Transfer / Terminate
| Risk | Level | Response Strategy | Recommended Action |
|---|---|---|---|
| Imported fabric price increase (currency) | HIGH | Treat + Transfer | Forward purchase contracts; negotiate longer-term supplier pricing; increase local fabric sourcing |
| Margin compression from input costs | HIGH | Treat | Real-time costing system; per-style margin monitoring; tighter fabric utilisation targets |
| Fabric waste and cutting inefficiency | MEDIUM | Treat | Improved marker planning; real-time waste tracking; cutting supervisor accountability KPIs |
| Production downtime and changeover delays | MEDIUM | Treat | SMED methodology to reduce changeover from 3–4hrs to <1hr; IoT downtime monitoring |
| Labour productivity decline in peak periods | MEDIUM | Treat + Tolerate | Cap overtime hours; cross-train operators; consider temporary skilled labour during peak |
| Working capital cycle extension | MEDIUM | Treat | Reduce inventory days via better production planning; negotiate shorter receivable terms |
| Inventory control weaknesses | MEDIUM | Treat | Introduce perpetual inventory system; real-time material consumption tracking by style |
| Labour regulation compliance (overtime) | LOW–MED | Tolerate + Monitor | Document all OT approvals; set max OT hour threshold alerts; train HR on legal limits |
What a Formal Risk Register Should Include (Exam Framework)
1.
Risk Description
Risk Description
2.
Category (Op/Fin/Comp)
Category (Op/Fin/Comp)
3.
Likelihood (1–5)
Likelihood (1–5)
4.
Impact (1–5)
Impact (1–5)
5.
Risk Score (L×I)
Risk Score (L×I)
6.
Owner + Response
Owner + Response
08
Financial Statements & Performance Overview
Revenue grew from LKR 1,650M (2022) to LKR 2,200M (2025). Gross margin dipped to 27% in 2024 (below target) due to currency-driven fabric cost increases, then recovered to 29% in 2025. Working capital cycle extended significantly — inventory days at 101.6 and net WC cycle at 90.7 days by 2025. This is a financially growing but operationally stressed company.
Income Statement Trend (LKR Million)
FY 2022
1,650
GP: 29%
FY 2023
1,820
GP: 30%
FY 2024
1,950
GP: 27% ⚠
FY 2025
2,200
GP: 29%
| LKR Million | FY2022 | FY2023 | FY2024 | FY2025 |
|---|---|---|---|---|
| Revenue | 1,650 | 1,820 | 1,950 | 2,200 |
| COGS | (1,171) | (1,274) | (1,416) | (1,562) |
| Gross Profit | 479 | 546 | 534 | 638 |
| Gross Profit % | 29% | 30% | 27% | 29% |
| Operating Expenses | (310) | (340) | (375) | (390) |
| Operating Profit | 169 | 206 | 159 | 248 |
Working Capital Indicators
| Indicator | FY 2022/23 | FY 2023/24 | FY 2024/25 |
|---|---|---|---|
| Inventory Days | 96.0 | 100.5 | 101.6 ↑ |
| Receivable Days | 60.2 | 64.6 | 63.9 ↘ |
| Payable Days | 73.1 | 74.8 | 74.8 |
| Net WC Cycle (Days) | 83.1 | 90.3 | 90.7 ↑ |
101.6Inventory Days (2025)
90.7WC Cycle Days (2025)
58%Fabric % of COGS
638MGross Profit FY2025
✦ Key Highlights
- 2024 margin dip = exam discussion point (currency risk materialised)
- Inventory days worsening YoY — cash tied up
- Short-term borrowings peaked at 210M in FY2024
- Equity growing steadily — profitable overall
✓ What Nisala Does
- Revenue grown 33% over 4 years
- Margin recovery in FY2025 via tighter material control
- PPE investment steady (capacity building)
- Receivables reconciled monthly
⚠ The Gaps
- WC cycle extended — 90.7 days is high for a manufacturer
- Inventory build-up suggests poor production planning or slow clearance
- Cash position fell from 90M to 60M between 2022–2024
- Operating expenses growing faster than revenue (structural concern)
📌 Student Notes
- Know all ratios: GP%, inventory days, receivable days, payable days, WC cycle
- Understand the 2024 margin dip story fully (currency → fabric cost → GP compression)
- WC cycle = inventory days + receivable days – payable days
- Fabric at 58% of COGS: a 1% waste reduction has large $ impact
Formula Reminder: Net WC Cycle = Inventory Days + Receivable Days − Payable Days. For FY2025: 101.6 + 63.9 − 74.8 = 90.7 days. The exam will almost certainly test working capital analysis and margin variance decomposition.
📊 Key Ratio Dashboard — FY2025 Traffic Light Status
| Ratio | Formula | FY2025 Value | Benchmark / Target | Status |
|---|---|---|---|---|
| Gross Profit Margin | GP ÷ Revenue | 29.0% | 28–30% (target) | ON TARGET |
| Operating Profit Margin | Op Profit ÷ Revenue | 11.3% | >10% (SME benchmark) | ACCEPTABLE |
| Inventory Days | Inventory ÷ COGS × 365 | 101.6 days | <80 days (garment sector) | ABOVE TARGET |
| Receivable Days | Receivables ÷ Revenue × 365 | 63.9 days | <60 days | WATCH |
| Payable Days | Payables ÷ COGS × 365 | 74.8 days | 60–75 days | ACCEPTABLE |
| Net WC Cycle | Inv Days + Rec Days − Pay Days | 90.7 days | <65 days (target) | ABOVE TARGET |
| Debt-to-Equity | Total Liabilities ÷ Total Equity | 1.03× | <1.5× (SME norm) | ACCEPTABLE |
| Current Ratio (approx) | (Inv + Rec + Cash) ÷ ST Liabilities | ≈ 1.77× | >1.5× (manufacturing) | ACCEPTABLE |
| Line Efficiency | Actual output ÷ Target output | 78% | 85% (target) | BELOW TARGET |
| Fabric as % COGS | Fabric Cost ÷ COGS | 58% | Monitor for increase | WATCH |
📐 FY2024 Margin Dip — Variance Decomposition
The GP% fell from 30% (FY2023) to 27% (FY2024) — a 3 percentage point drop on revenue of LKR 1,950M = LKR 58.5M less gross profit than expected. Here's where it came from:
| Variance Component | Effect on GP% | LKR Impact (approx) | Root Cause |
|---|---|---|---|
| Fabric price increase (currency) | −2.5pp | ≈ −LKR 49M | LKR depreciation → imported fabric cost rise |
| Volume / mix effect | −0.5pp | ≈ −LKR 10M | Higher volume without efficiency gains = dilution |
| Fabric utilisation improvement (partial offset) | +0.5pp offset | ≈ +LKR 10M | Tighter marker planning & cutting controls |
| Net effect (FY2023→FY2024) | −3.0pp | ≈ −LKR 49M | GP fell from LKR 546M to LKR 534M |
✅ Recovery in FY2025 (27%→29%)
- Tighter material control maintained from 2024
- Improved fabric utilisation via better marker planning
- Revenue grew 12.8% — overhead absorbed better
- Production coordination improved partially
⚠ What Still Remains Unresolved
- WC cycle worsened further (90.3→90.7 days)
- Inventory days still rising (100.5→101.6)
- Line efficiency still 78% — no structural improvement
- No real-time costing to prevent future dips
09
Sustainability & ESG
Nisala has basic ESG practices in place — fabric waste monitoring, LED lighting, water usage tracking, labour compliance, upskilling programmes. However, monitoring is largely periodic, not real-time. Retailer expectations for ethical sourcing are rising, which may require stronger documentation in the future. Energy usage per unit of output is not formally measured.
ESG Pillar Assessment
Environmental
Basic
Social
Moderate
Governance
Basic
✦ Key Highlights
- Fabric waste = both ESG and cost issue (dual benefit of improvement)
- 320 employees = significant community employer
- Retailer ESG expectations growing — risk to future orders
✓ What Nisala Does
- Improved marker planning for fabric waste reduction
- LED lighting and idle machine switch-off
- Monthly water and electricity bill tracking
- Reusable fabric remnants separated
⚠ The Gaps
- No energy per unit measurement (key ESG KPI)
- No formal ESG reporting or sustainability report
- No quantified waste reduction targets
- OT fatigue risk during peak periods unaddressed
📌 Student Notes
- Frame ESG improvements as dual wins: cost saving + ethical compliance
- Retailer audits on labour standards are a realistic exam scenario
- Energy per unit of output = easy quick-win KPI to recommend
ESG Quick-Wins — Zero or Low Cost, High Impact
| Initiative | ESG Pillar | Cost | Business Benefit | Priority |
|---|---|---|---|---|
| Track energy per unit of output (kWh/garment) | Environmental | Zero | Baseline for efficiency + retailer reporting | IMMEDIATE |
| Set quantified fabric waste reduction target (e.g. reduce off-cuts by 10%) | Environmental | Zero | Directly saves LKR on fabric cost (58% of COGS) | IMMEDIATE |
| Introduce OT hour cap and fatigue monitoring | Social | Zero | Maintains productivity; reduces compliance risk | IMMEDIATE |
| Document all training, safety sessions, and CSR activities | Governance | Minimal | Retailer audit readiness; demonstrates ethical standards | SHORT-TERM |
| Create simple annual sustainability statement (1 page) | Governance | Minimal | Differentiator vs competitors; retailer confidence | SHORT-TERM |
| Real-time fabric waste tracking per cutting batch | Environmental | Low-Medium | Immediate corrective action = material cost savings | MEDIUM-TERM |
Retailer Audit Readiness — Documentation Gaps to Close
❌ Currently Missing (Audit Risk)
- No written ethical sourcing policy
- No energy/water consumption per unit KPIs
- No formal ESG or sustainability report
- OT documentation may not meet retailer standard
- No supplier ethics certification process
✅ Already in Place (Audit Strengths)
- EPF & ETF compliance — statutory records kept
- Approved supplier list maintained
- OT approval process through HR documented
- Basic safety sessions conducted annually
- Fabric reuse programme actively operating
10
Community Involvement & CSR
Nisala's CSR is practical and community-focused, appropriate for its SME scale. Key initiatives include local employment in Gampaha District, sewing skill training for school leavers, school uniform donation programmes, annual safety awareness sessions, and fabric reuse initiatives. No large-scale corporate programmes — CSR is embedded in operations.
CSR Initiatives
💼
Local Employment
~320 jobs in Gampaha District
🧵
Skill Training
Sewing skills for school leavers
👕
Uniform Donations
Low-income families supported
🦺
Safety Awareness
Annual sessions for all staff
♻️
Fabric Reuse
Waste reduction initiatives
📰
Public Communication
Article in Local Business Review Magazine
✦ Key Highlights
- CSR = operational integration, not separate budget
- Community employer role creates local goodwill
- Fabric reuse links CSR to cost savings
✓ What Nisala Does
- 5 clear, measurable CSR initiatives
- Skills pipeline from school leavers → workforce
- Public reporting via magazine article
⚠ The Gaps
- No formal CSR budget or annual report
- No impact measurement for CSR activities
- Limited documentation for retailer audits
📌 Student Notes
- CSR is unlikely to be a major exam focus — but could appear in ethics questions
- Skill training programme = internal labour pipeline (operational benefit too)
- Link CSR to retailer relationship management if asked
CSR → Business Value Linkage (How to Frame in Exam Answers)
| CSR Initiative | Community Benefit | Direct Business Value | Exam Angle |
|---|---|---|---|
| Local Employment (~320 jobs) | Income for Gampaha families | Loyal, locally-rooted workforce; lower turnover costs | Stakeholder value; social licence to operate |
| Sewing Skill Training (school leavers) | Youth employability | Internal talent pipeline — reduces recruitment cost; pre-trained operators | Human capital investment; operational benefit |
| School Uniform Donations | Support low-income families | Uses fabric remnants/off-cuts — converts waste into goodwill | ESG waste linkage; cost-neutral CSR |
| Annual Safety Awareness Sessions | Worker safety education | Reduces workplace incidents; demonstrates compliance to retailers | Retailer audit readiness; compliance risk |
| Fabric Reuse Initiative | Waste reduction | Smaller off-cut products = additional revenue or lower disposal costs; aligns with ESG | Circular economy; cost + ESG dual win |
| Magazine Article (PR) | Community awareness | Brand visibility with retailer audience; differentiates on ethical grounds | Stakeholder communication; reputational value |
∑
Master Exam Summary: The 5 Things You Must Know
🔴 #1 — The Efficiency Gap is the Core Problem
Line efficiency is 78% vs 85% target. This, combined with month-end-only variance analysis, means inefficiencies go unaddressed for weeks. Rework (4.5%) and downtime (6–8%) compound the cost impact. Any exam question will trace back to this.
🔵 #2 — Fabric is the #1 Financial Lever
Fabric is 58% of COGS. Currency depreciation hit margins in 2024 (27% vs 28–30% target). Any 1% improvement in fabric utilisation directly expands gross margin. Fabric wastage = both a financial and ESG issue.
🟡 #3 — Working Capital is Deteriorating
Inventory days at 101.6 and WC cycle at 90.7 days represent a growing cash strain. Short-term borrowings peaked at LKR 210M in FY2024. Inventory build-up from larger batch sizes is not being cleared efficiently.
🟢 #4 — Overtime Doesn't Proportionally Increase Output
Output per labour hour drops from 2.05 to 1.93 during peak periods despite more hours worked. This is a key management insight: overtime is not the solution to capacity constraints — efficiency improvement is.
⭐ #5 — Your Role: Bridge Between Finance & Operations
As Finance Executive – Operations & Costing Support, your exam answers must always integrate financial analysis (variances, margins, ratios) with operational context (line efficiency, downtime, changeovers). Never analyse numbers in isolation. Always connect cost data to production decisions and recommend actionable, feasible improvements proportionate to Nisala's SME scale.