Edgewell Personal Care (EPC) Prepaid Assets (2010 - 2026)
Edgewell Personal Care's Prepaid Assets came in at $162.5 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.6% from $163.5 million a year earlier and down 6.8% from the prior quarter.
Edgewell Personal Care (EPC) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Edgewell Personal Care's Prepaid Assets was $138.6 million, down 1.1% from FY2024.
- Prepaid Assets has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by fiscal year, Prepaid Assets was $140.2 million in FY2024 (-4.9%), $147.4 million in FY2023 (-11.9%), $167.3 million in FY2022 (+4.5%) and $160.1 million in FY2021 (+9.7%).
- The five-year range for quarterly Prepaid Assets is $138.6 million (fiscal Q4 2025) to $182.8 million (fiscal Q3 2022).
- Year-over-year, Prepaid Assets increased in three of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Prepaid Assets over five years came in fiscal Q3 2022 (growth of 17.4%), and the weakest in fiscal Q3 2023 (a decline of 14.0%).
- Business Quant data shows EPC's Prepaid Assets at $174.3 million (Q2 2026), $161.6 million (Q1 2026) and $138.6 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Edgewell Personal Care | 1.24 Bn | 96.55 Mn | 242.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.50 Mn |
| Mar 31, 2026 | 174.30 Mn |
| Dec 31, 2025 | 161.60 Mn |
| Sep 30, 2025 | 138.60 Mn |
| Jun 30, 2025 | 163.50 Mn |
| Mar 31, 2025 | 151.90 Mn |
| Dec 31, 2024 | 147.60 Mn |
| Sep 30, 2024 | 140.20 Mn |
| Jun 30, 2024 | 151.70 Mn |
| Mar 31, 2024 | 171.60 Mn |
| Dec 31, 2023 | 156.90 Mn |
| Sep 30, 2023 | 147.40 Mn |
| Jun 30, 2023 | 157.20 Mn |
| Mar 31, 2023 | 152.70 Mn |
| Dec 31, 2022 | 160.10 Mn |
| Sep 30, 2022 | 167.30 Mn |
| Jun 30, 2022 | 182.80 Mn |
| Mar 31, 2022 | 167.70 Mn |
| Dec 31, 2021 | 165.20 Mn |
| Sep 30, 2021 | 160.10 Mn |
Edgewell Personal Care Prepaid Assets 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=prepaid-assets&ticker=EPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=EPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();