Watsco (WSO-B) Operating Expenses (2009 - 2026)
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Analysis
Watsco (WSO-B) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 281.92 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-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WSO-B", "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-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();