Watsco (WSO) Operating Expenses (2009 - 2026)
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Analysis
Watsco (WSO) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 68.95 Bn | 66.71 Bn | 2.01 Bn | 1.18 Bn |
| 2 | United Rentals | 68.54 Bn | 67.66 Bn | 2.05 Bn | 1.27 Bn |
| 3 | Fastenal | 62.92 Bn | 61.91 Bn | 1.10 Bn | 573.90 Mn |
| 4 | Ferguson Enterprises | 50.34 Bn | 47.55 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 33.33 Bn | 33.21 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.77 Bn | 20.83 Bn | 1.45 Bn | 4.66 Bn |
| 7 | Wesco International | 15.42 Bn | 12.47 Bn | 1.57 Bn | 1.06 Bn |
| 8 | Watsco | 11.20 Bn | 9.27 Bn | 586.29 Mn | 370.75 Mn |
| 9 | Applied Industrial Technologies | 10.92 Bn | 10.80 Bn | 392.21 Mn | 248.62 Mn |
| 10 | Avantor | 10.55 Bn | 9.13 Bn | 534.80 Mn | 395.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 370.75 Mn |
| Jun 30, 2026 | 348.99 Mn |
| Mar 31, 2026 | 322.85 Mn |
| Dec 31, 2025 | 332.65 Mn |
| Sep 30, 2025 | 343.66 Mn |
| Jun 30, 2025 | 339.00 Mn |
| Mar 31, 2025 | 322.58 Mn |
| Dec 31, 2024 | 338.49 Mn |
| Sep 30, 2024 | 326.37 Mn |
| Jun 30, 2024 | 319.03 Mn |
| Mar 31, 2024 | 309.55 Mn |
| Dec 31, 2023 | 312.46 Mn |
| Sep 30, 2023 | 319.83 Mn |
| Jun 30, 2023 | 304.16 Mn |
| Mar 31, 2023 | 287.06 Mn |
| Dec 31, 2022 | 301.75 Mn |
| Sep 30, 2022 | 321.52 Mn |
| Jun 30, 2022 | 314.75 Mn |
| Mar 31, 2022 | 283.35 Mn |
| Dec 31, 2021 | 292.09 Mn |
API Access
Watsco 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=WSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WSO", "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=WSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();