Edgewell Personal Care (EPC) Restructuring Costs (2010 - 2026)
Edgewell Personal Care (EPC) reported Restructuring Costs of $12.7 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 14.8% from $14.9 million a year earlier and down 9.3% from the prior quarter.
Edgewell Personal Care (EPC) Restructuring Costs (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Edgewell Personal Care's Restructuring Costs came in at $61.8 million, up 15.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $47.9 million, up 33.4% from FY2024.
- Restructuring Costs has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- By fiscal year, Restructuring Costs came in at $35.9 million in FY2024 (+116.3%), $16.6 million in FY2023 (+8.5%), $15.3 million in FY2022 (-26.4%) and $20.8 million in FY2021 (-15.4%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Restructuring Costs since fiscal Q2 2025.
- Year over year, Restructuring Costs gained in five of the last eight quarters, with growth averaging 139.8%.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q3 2025 (growth of 380.6%); the low point was fiscal Q1 2022 (a decline of 40.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $14 million (Q2 2026), $18.1 million (Q1 2026) and $17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Edgewell Personal Care | 1.30 Bn | 158.30 Mn | 242.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.70 Mn |
| Mar 31, 2026 | 14.00 Mn |
| Dec 31, 2025 | 18.10 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 14.90 Mn |
| Mar 31, 2025 | 11.80 Mn |
| Dec 31, 2024 | 4.10 Mn |
| Sep 30, 2024 | 22.80 Mn |
| Jun 30, 2024 | 3.10 Mn |
| Mar 31, 2024 | 3.20 Mn |
| Dec 31, 2023 | 6.80 Mn |
| Sep 30, 2023 | 7.90 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 2.70 Mn |
| Sep 30, 2022 | 6.10 Mn |
| Jun 30, 2022 | 3.50 Mn |
| Mar 31, 2022 | 3.50 Mn |
| Dec 31, 2021 | 2.20 Mn |
| Sep 30, 2021 | 9.20 Mn |
Edgewell Personal Care Restructuring Costs 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=restructuring-costs&ticker=EPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=EPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();