---
name: working-capital-benchmarking-analyzer
description: "Benchmarks a company's working capital metrics (DSO, DPO, DIO, CCC) against sector quartile ranges, ranks the performance gaps, and calculates the implied cash release available if the company reaches median and upper-quartile performance. Use when comparing working capital or cash conversion performance to industry peers, quantifying trapped cash, or building a liquidity improvement case for leadership."
argument-hint: "[sector] [wc-metrics]"
allowed-tools: ["Read"]
---

# Working Capital Benchmarking Analyzer

## Purpose
Convert a company's working capital metrics into a peer-benchmarked, cash-quantified diagnostic — showing exactly which levers (receivables, payables, inventory) are lagging the sector, ranked by the cash they would release. Turns abstract DSO/DPO/DIO/CCC figures into a defensible number for how much cash is trapped versus median and upper-quartile peers.

## When to Use
Invoke this skill when the user asks to:
- Benchmark working capital or cash conversion cycle against industry peers
- Compare DSO, DPO, DIO, or CCC to sector quartiles
- Quantify how much cash is trapped in receivables, inventory, or payables timing
- Build a case for a working capital improvement or liquidity release program
- Identify which working capital metric to prioritize for cash generation
- Prepare a peer-comparison slide or CFO narrative on cash performance

## Inputs Required
Before starting, collect:
- **Sector / industry**: The peer group to benchmark against (e.g., specialty retail, industrial distribution, SaaS, food manufacturing)
- **Annual revenue**: Used to translate day-based gaps into cash amounts
- **Annual COGS**: Used to convert DIO and DPO days into cash (revenue is not the correct base for these)
- **DSO**: Days Sales Outstanding — current
- **DPO**: Days Payable Outstanding — current
- **DIO**: Days Inventory Outstanding — current
- **CCC**: Cash Conversion Cycle — current (if omitted, calculate as DSO + DIO − DPO)
- **Benchmark source (optional)**: If the user supplies quartile figures, use them; otherwise apply representative sector quartile ranges and state the assumption explicitly.

If benchmark quartiles are not provided, use reasonable sector-typical quartile ranges and flag them as estimates to be validated against a subscription peer dataset (e.g., CapIQ, PwC/REL, Hackett).

## Instructions

### Step 1: Validate and Normalize Inputs
- Confirm CCC reconciles: CCC = DSO + DIO − DPO. If the supplied CCC does not match within ±1 day, flag the discrepancy and use the component-derived value.
- Establish the correct cash base for each metric:
  - **DSO** → daily revenue (Revenue ÷ 365)
  - **DIO** → daily COGS (COGS ÷ 365)
  - **DPO** → daily COGS (COGS ÷ 365)
- Note that improving DPO (paying slower) is a cash *source*, while improving DSO/DIO (collecting/turning faster) reduces the days figure.

### Step 2: Assemble the Sector Quartile Benchmark
For each of DSO, DPO, DIO, and CCC, establish four reference points:
- **Top quartile (best-in-class)**: DSO/DIO/CCC low; DPO high
- **Median**
- **Bottom quartile (laggard)**: DSO/DIO/CCC high; DPO low
- **Company position**: Place the company against these ranges and label it (e.g., "between median and bottom quartile")

Present this as a comparison table: Metric | Company | Top Quartile | Median | Bottom Quartile | Position.

### Step 3: Calculate the Days Gap to Median and Upper Quartile
For each metric, compute:
- **Gap to median** (in days): the improvement needed to reach the median
- **Gap to upper quartile** (in days): the improvement needed to reach best-in-class
- Direction matters: for DSO/DIO the company must reduce days; for DPO the company must increase days. Where the company already outperforms median, report the gap as zero (no cash release from that lever) and note the outperformance.

### Step 4: Convert Days Gaps into Implied Cash Release
For each metric and each target (median, upper quartile):
- **DSO cash release** = Days gap × (Revenue ÷ 365)
- **DIO cash release** = Days gap × (COGS ÷ 365)
- **DPO cash release** = Days gap × (COGS ÷ 365)

Show the arithmetic for at least the largest lever. Sum the metric-level releases into a **total implied cash release at median** and a **total implied cash release at upper quartile**. Do not double-count — CCC is a summary of the three components, so cash release is aggregated from the components, not from CCC separately.

### Step 5: Rank the Gaps by Cash Opportunity
Produce a ranked list of the three levers (DSO, DIO, DPO) ordered by implied cash release at upper-quartile performance, largest first. For each ranked lever include:
- Cash release at median and at upper quartile
- Days gap
- A one-line read on difficulty/realism (e.g., DPO extensions may strain supplier relationships; DIO reductions depend on demand forecasting; DSO reductions depend on collections discipline and terms)

### Step 6: Write Per-Metric Commentary
For each of DSO, DIO, DPO, and CCC, write 2–4 sentences covering:
- Where the company sits versus peers and by how much
- The likely operational driver of the gap
- The specific lever to pull and one realistic first action
- A caveat where relevant (seasonality, one-off inventory build, terms concentration, factoring, sector payment norms)

### Step 7: Summary Recommendation
State the single highest-value lever, the realistic near-term cash target (median), the stretch target (upper quartile), and the one initiative to launch first. Be specific and quantified.

## Output Format
- **Structure**: Benchmark comparison table → days-gap table → implied cash release table (median and upper quartile) → ranked gap analysis → per-metric commentary → summary recommendation
- **Length**: 800–1,100 words plus tables
- **Format**: Structured document with three tables and prose commentary; numbers formatted with currency and day units
- **Sections**: Quartile Benchmark → Gap to Median/Upper Quartile → Implied Cash Release → Ranked Opportunity → Per-Metric Commentary → Summary Recommendation
- **Tone**: FP&A director — quantitative, plain-spoken, defensible; every claim tied to a number

## Quality Checklist
Before delivering output, verify:
- [ ] DSO cash uses revenue base; DIO and DPO cash use COGS base (not mixed)
- [ ] CCC reconciles to DSO + DIO − DPO, and any discrepancy is flagged
- [ ] Total cash release is aggregated from the three components, not double-counted with CCC
- [ ] Every metric shows both a median gap and an upper-quartile gap in days
- [ ] The ranked opportunity list orders levers by cash release, largest first
- [ ] Benchmark figures are either user-supplied or explicitly labeled as sector estimates to validate

## Notes
- DPO improvement is real cash but carries relationship and supply-chain risk — flag it rather than treat it as free money, especially where the company already sits near sector norms.
- A negative CCC (common in retail and marketplaces) is a feature, not a defect — benchmark it against sector peers rather than treating "lower is always better" as universal.
- Where the company already outperforms median on a metric, say so plainly; overstating the opportunity undermines the credibility of the whole analysis.
- Seasonality and period-end snapshots distort day-based metrics; recommend using a trailing-average balance where the user has the data.

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## How to use this skill

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Restart Claude Code or open a new session to register.

**Using in Claude.ai, ChatGPT, Gemini, or other AI tools:**

1. Drag this file into a new chat, or copy and paste its contents
2. Send your task or request as your next message — the AI will apply the skill where it fits

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