Metric Explainer: Inventory Days

How many days goods sit in storage before being sold. Lower means the company sells its products faster. "Inventory Days batata hai ki company ka maal godown...

Back to metrics

Simple definition

How many days goods sit in storage before being sold. Lower means the company sells its products faster.

🗣️

"Inventory Days batata hai ki company ka maal godown mein kitne din padha rehta hai bechne se pehle. 30 days matlab 1 mahine mein bikta hai."

Why it matters

  1. Working capital efficiency — inventory sitting in a warehouse is cash locked up
  2. Demand indicator — rising inventory days may signal weak demand
  3. Part of Cash Conversion Cycle — directly impacts how fast cash cycles through the business
  4. Obsolescence risk — long-sitting inventory may lose value (especially in tech, fashion)

Formula

Inventory Days = (Inventories / Cost of Goods Sold) × 365

Why COGS, not Revenue?

Inventories are valued at cost, so the denominator should also be at cost (COGS), not revenue. Using revenue overstates inventory efficiency.

Good range — by sector

Sector Lean Average Bloated
FMCG < 30 days 30–60 days > 75 days
Auto < 20 days 20–45 days > 60 days
Pharma < 60 days 60–90 days > 120 days
Chemicals < 45 days 45–75 days > 90 days
Jewellery < 200 days 200–300 days > 350 days
IT/Services N/A N/A N/A

Jewellery is an outlier

Jewellery companies (Titan, Kalyan) carry 200–300 days inventory because gold itself is the product and is a store of value. This is normal for the sector.

Common mistakes

Mistakes to avoid

  1. Not using COGS — Using revenue as denominator underestimates inventory days
  2. Comparing across sectors — 60 days is great for pharma but bad for FMCG
  3. Seasonal businesses — Festive season inventory build-up is normal (Q2 for consumer companies targeting Diwali)
  4. Inventory write-downs — Companies sometimes write down slow-moving inventory, which improves inventory days but is a loss

Detecting demand problems

Pattern Signal
Inventory days rising + Revenue flat Demand weakness — goods not selling
Inventory days rising + Revenue growing Building stock for expansion — possibly okay
Inventory days falling + Revenue growing Excellent — selling faster despite growth
Inventory days falling + Revenue falling Company cutting production — defensive mode

Red flags

  • Inventory days rising 10%+ annually — demand issue or production overplan
  • Finished goods inventory growing faster than raw materials — product isn't selling
  • Large "work in progress" increase — production bottleneck
  • Inventory provision/write-down increasing — quality or demand problem

Related metrics