Estee Lauder Companies (EL) Restructuring Costs (2009 - 2026)
Estee Lauder Companies' Restructuring Costs was $40 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 55.1% from $89 million a year earlier and down 86.3% from the prior quarter.
Estee Lauder Companies (EL) Restructuring Costs (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Estee Lauder Companies' Restructuring Costs was $764 million through Sep 30, 2026, up 61.5% year-over-year; for FY2026 (ended Jun 30, 2026), it was $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 Q1 2027 figure marks the lowest quarterly Restructuring Costs since fiscal Q3 2024.
- Compared with a year earlier, Restructuring Costs was higher in five of the last seven quarters, with growth averaging 101.1%.
- 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 Q1 2027 was $293 million (Q4 2026), $224 million (Q3 2026) and $207 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.00 Mn |
| 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 |
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_KEY
import 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();