Edgewell Personal Care (EPC) Total Liabilities (2009 - 2026)
Edgewell Personal Care (EPC) recorded Total Liabilities of $2.08 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.7% from $2.23 billion a year earlier and down 0.5% from the prior quarter.
Edgewell Personal Care (EPC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Edgewell Personal Care reported Total Liabilities of $2.2 billion, up 2.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $2.15 billion in FY2024 (-2.4%), $2.2 billion in FY2023 (-2.0%), $2.25 billion in FY2022 (+7.8%) and $2.08 billion in FY2021 (-0.9%).
- The fiscal Q3 2026 figure is the lowest quarterly Total Liabilities since fiscal Q2 2021.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with an average decline of 0.7%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 11.0% in fiscal Q1 2022, against a decline of 7.7% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.09 billion (Q2 2026), $2.28 billion (Q1 2026) and $2.2 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Edgewell Personal Care | 1.30 Bn | 158.30 Mn | 242.50 Mn | 2.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Bn |
| Mar 31, 2026 | 2.09 Bn |
| Dec 31, 2025 | 2.28 Bn |
| Sep 30, 2025 | 2.20 Bn |
| Jun 30, 2025 | 2.23 Bn |
| Mar 31, 2025 | 2.26 Bn |
| Dec 31, 2024 | 2.20 Bn |
| Sep 30, 2024 | 2.15 Bn |
| Jun 30, 2024 | 2.13 Bn |
| Mar 31, 2024 | 2.21 Bn |
| Dec 31, 2023 | 2.24 Bn |
| Sep 30, 2023 | 2.20 Bn |
| Jun 30, 2023 | 2.21 Bn |
| Mar 31, 2023 | 2.28 Bn |
| Dec 31, 2022 | 2.30 Bn |
| Sep 30, 2022 | 2.25 Bn |
| Jun 30, 2022 | 2.24 Bn |
| Mar 31, 2022 | 2.28 Bn |
| Dec 31, 2021 | 2.25 Bn |
| Sep 30, 2021 | 2.08 Bn |
Edgewell Personal Care Total Liabilities 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=total-liabilities&ticker=EPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();