Clorox (CLX) Operating Expenses (2009 - 2026)
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Analysis
Clorox (CLX) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 388.82 Bn | 340.39 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 77.88 Bn | 72.36 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 41.48 Bn | 28.57 Bn | 2.81 Bn | 2.41 Bn |
| 4 | Kimberly Clark | 37.12 Bn | 33.06 Bn | 1.44 Bn | - |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.60 Bn |
| 6 | Church & Dwight | 26.25 Bn | 24.63 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 12.61 Bn | 10.87 Bn | 770.00 Mn | 319.00 Mn |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.16 Bn | 4.85 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Bath & Body Works | 4.67 Bn | 1.86 Bn | 692.00 Mn | 476.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 319.00 Mn |
| Jun 30, 2026 | 330.00 Mn |
| Mar 31, 2026 | 256.00 Mn |
| Dec 31, 2025 | 291.00 Mn |
| Sep 30, 2025 | 305.00 Mn |
| Jun 30, 2025 | 328.00 Mn |
| Mar 31, 2025 | 294.00 Mn |
| Dec 31, 2024 | 311.00 Mn |
| Sep 30, 2024 | 312.00 Mn |
| Jun 30, 2024 | 301.00 Mn |
| Mar 31, 2024 | 333.00 Mn |
| Dec 31, 2023 | 354.00 Mn |
| Sep 30, 2023 | 305.00 Mn |
| Jun 30, 2023 | 367.00 Mn |
| Mar 31, 2023 | 346.00 Mn |
| Dec 31, 2022 | 315.00 Mn |
| Sep 30, 2022 | 293.00 Mn |
| Jun 30, 2022 | 278.00 Mn |
| Mar 31, 2022 | 264.00 Mn |
| Dec 31, 2021 | 275.00 Mn |
API Access
Clorox 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=CLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CLX", "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=CLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();