Edgewell Personal Care (EPC) Inventory (2009 - 2026)
Edgewell Personal Care's Inventory came in at $433 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 11.3% from $488.4 million a year earlier and down 3.8% from the prior quarter.
Edgewell Personal Care (EPC) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Edgewell Personal Care's Inventory was $433.8 million, down 9.1% from FY2024.
- Inventory carries a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $477.3 million in FY2024 (-3.1%), $492.4 million in FY2023 (+9.6%), $449.3 million in FY2022 (+30.0%) and $345.7 million in FY2021 (+10.1%).
- The fiscal Q3 2026 figure represents the lowest quarterly Inventory since fiscal Q3 2022.
- Year-over-year, Inventory has declined for four consecutive quarters, with an average decline of 4.7% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q1 2023 (growth of 32.6%), and the weakest in fiscal Q2 2026 (a decline of 12.1%).
- Business Quant data shows EPC's Inventory at $450.1 million (Q2 2026), $461.2 million (Q1 2026) and $433.8 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 8.17 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.18 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.00 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.72 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.54 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 601.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 777.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 246.81 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 718.00 Mn |
| 10 | Edgewell Personal Care | 1.30 Bn | 158.30 Mn | 242.50 Mn | 433.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 433.00 Mn |
| Mar 31, 2026 | 450.10 Mn |
| Dec 31, 2025 | 461.20 Mn |
| Sep 30, 2025 | 433.80 Mn |
| Jun 30, 2025 | 488.40 Mn |
| Mar 31, 2025 | 512.20 Mn |
| Dec 31, 2024 | 501.60 Mn |
| Sep 30, 2024 | 477.30 Mn |
| Jun 30, 2024 | 455.90 Mn |
| Mar 31, 2024 | 496.40 Mn |
| Dec 31, 2023 | 521.90 Mn |
| Sep 30, 2023 | 492.40 Mn |
| Jun 30, 2023 | 502.50 Mn |
| Mar 31, 2023 | 540.50 Mn |
| Dec 31, 2022 | 540.20 Mn |
| Sep 30, 2022 | 449.30 Mn |
| Jun 30, 2022 | 414.10 Mn |
| Mar 31, 2022 | 429.10 Mn |
| Dec 31, 2021 | 407.50 Mn |
| Sep 30, 2021 | 345.70 Mn |
Edgewell Personal Care Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=EPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "EPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=EPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();