Estee Lauder Companies (EL) Restructuring Costs (2009 - 2026)
Estee Lauder Companies' Restructuring Costs was $293 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 176.4% from $106 million a year earlier and up 30.8% from the prior quarter.
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Analysis
Estee Lauder Companies (EL) Restructuring Costs (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Restructuring Costs at Estee Lauder Companies came in at $813 million, up 69.0% from FY2025.
- Restructuring Costs has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 31.9% (FY2021 to FY2026).
- In earlier fiscal years, Restructuring Costs was $481 million in FY2025 (+294.3%), $122 million in FY2024 (+121.8%), $55 million in FY2023 (-58.6%) and $133 million in FY2022 (-34.8%).
- The fiscal Q4 2026 figure marks the highest quarterly Restructuring Costs in data going back to fiscal Q1 2010.
- Compared with a year earlier, Restructuring Costs has increased for three straight quarters, with growth averaging 127.1% over the last six quarters.
- The best year-over-year quarter for Restructuring Costs over five years was fiscal Q3 2025 (growth of 438.9%); the worst was fiscal Q3 2022 (a decline of 83.2%).
- Per Business Quant data, EL's Restructuring Costs in the three fiscal quarters before Q4 2026 was $224 million (Q3 2026), $207 million (Q2 2026) and $89 million (Q1 2026).
Peer Set
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 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.00 Mn |
| Mar 31, 2026 | 224.00 Mn |
| Dec 31, 2025 | 207.00 Mn |
| Sep 30, 2025 | 89.00 Mn |
| Jun 30, 2025 | 106.00 Mn |
| Mar 31, 2025 | 97.00 Mn |
| Dec 31, 2024 | 181.00 Mn |
| Sep 30, 2024 | 97.00 Mn |
| Jun 30, 2024 | 96.00 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 31.00 Mn |
| Mar 31, 2023 | 14.00 Mn |
| Dec 31, 2022 | 8.00 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 92.00 Mn |
| Mar 31, 2022 | 22.00 Mn |
| Dec 31, 2021 | 13.00 Mn |
| Sep 30, 2021 | 6.00 Mn |
API Access
Estee Lauder Companies 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=EL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "EL", "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=EL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();