Whirlpool Corp /De/ (WHR-PA) Selling, General & Administrative (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.00 Mn |
| Mar 31, 2026 | 359.00 Mn |
| Dec 31, 2025 | 424.00 Mn |
| Sep 30, 2025 | 405.00 Mn |
| Jun 30, 2025 | 397.00 Mn |
| Mar 31, 2025 | 406.00 Mn |
| Dec 31, 2024 | 418.00 Mn |
| Sep 30, 2024 | 395.00 Mn |
| Jun 30, 2024 | 394.00 Mn |
| Mar 31, 2024 | 477.00 Mn |
| Dec 31, 2023 | 557.00 Mn |
| Sep 30, 2023 | 473.00 Mn |
| Jun 30, 2023 | 476.00 Mn |
| Mar 31, 2023 | 487.00 Mn |
| Dec 31, 2022 | 537.00 Mn |
| Sep 30, 2022 | 446.00 Mn |
| Jun 30, 2022 | 461.00 Mn |
| Mar 31, 2022 | 376.00 Mn |
| Dec 31, 2021 | 555.00 Mn |
| Sep 30, 2021 | 524.00 Mn |
API Access
Whirlpool Corp /De/ Selling, General & Administrative 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=selling-general-and-administrative&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "WHR-PA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();