Estee Lauder Companies (EL) Operating Expenses (2009 - 2026)
Estee Lauder Companies' Operating Expenses came in at $2.78 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.5% from $2.85 billion a year earlier but up 7.3% from the prior quarter.
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Analysis
Estee Lauder Companies (EL) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Estee Lauder Companies' Operating Expenses was $10.58 billion, down 7.0% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $11.38 billion in FY2025 (+11.4%), $10.21 billion in FY2024 (+3.8%), $9.84 billion in FY2023 (-4.1%) and $10.26 billion in FY2022 (+5.1%).
- The five-year range for quarterly Operating Expenses is $2.25 billion (fiscal Q1 2023) to $3.63 billion (fiscal Q2 2025).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 3.3%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2025 (growth of 42.2%), and the weakest in fiscal Q2 2026 (a decline of 21.9%).
- Business Quant data shows EL's Operating Expenses at $2.59 billion (Q3 2026), $2.83 billion (Q2 2026) and $2.39 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 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 | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 174.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Bn |
| Mar 31, 2026 | 2.59 Bn |
| Dec 31, 2025 | 2.83 Bn |
| Sep 30, 2025 | 2.39 Bn |
| Jun 30, 2025 | 2.85 Bn |
| Mar 31, 2025 | 2.36 Bn |
| Dec 31, 2024 | 3.63 Bn |
| Sep 30, 2024 | 2.55 Bn |
| Jun 30, 2024 | 3.01 Bn |
| Mar 31, 2024 | 2.30 Bn |
| Dec 31, 2023 | 2.55 Bn |
| Sep 30, 2023 | 2.35 Bn |
| Jun 30, 2023 | 2.45 Bn |
| Mar 31, 2023 | 2.30 Bn |
| Dec 31, 2022 | 2.85 Bn |
| Sep 30, 2022 | 2.25 Bn |
| Jun 30, 2022 | 2.45 Bn |
| Mar 31, 2022 | 2.51 Bn |
| Dec 31, 2021 | 2.90 Bn |
| Sep 30, 2021 | 2.40 Bn |
API Access
Estee Lauder Companies 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=operating-expenses&ticker=EL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=EL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();