Estee Lauder Companies (EL) Other Operating Expenses (2009 - 2026)
Estee Lauder Companies (EL) recorded Other Operating Expenses of -$84 million in FY2026 (year ended Jun 30, 2026), compared with -$159 million in FY2025.
Estee Lauder Companies (EL) Other Operating Expenses (2009 - 2026) Analysis & Trends
Starting with FY2009, Estee Lauder Companies' Other Operating Expenses history includes 13 fiscal years.
- The FY2026 figure is the highest annual Other Operating Expenses since FY2022.
- Per Business Quant data, EL's Other Operating Expenses was -$159 million in FY2025 and $1 million in FY2022 (-99.9%).
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 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -84.00 Mn |
| Sep 30, 2024 | -159.00 Mn |
| Dec 31, 2022 | 207.00 Mn |
| Jun 30, 2022 | 25.00 Mn |
| Mar 31, 2022 | 216.00 Mn |
| Jun 30, 2021 | 74.00 Mn |
| Mar 31, 2021 | 33.00 Mn |
| Dec 31, 2020 | 81.00 Mn |
| Jun 30, 2020 | 303.00 Mn |
| Mar 31, 2020 | 346.00 Mn |
| Dec 31, 2019 | 777.00 Mn |
| Mar 31, 2019 | 71.00 Mn |
| Dec 31, 2018 | 32.00 Mn |
| Sep 30, 2018 | -6.00 Mn |
| Jun 30, 2018 | -17.00 Mn |
| Mar 31, 2018 | -3.00 Mn |
| Dec 31, 2017 | -2.00 Mn |
| Sep 30, 2017 | -4.00 Mn |
| Jun 30, 2017 | 26.00 Mn |
| Mar 31, 2017 | -3.00 Mn |
Estee Lauder Companies Other Operating Expenses 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=other-operating-expenses&ticker=EL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=EL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();