Whirlpool Corp /De/ (WHR-PA) Profit After Tax (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Profit After Tax (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.85% |
| Mar 31, 2026 | -173.21% |
| Dec 31, 2025 | 21.74% |
| Sep 30, 2025 | 153.18% |
| Jun 30, 2025 | -318.99% |
| Mar 31, 2025 | 119.36% |
| Dec 31, 2024 | -457.89% |
| Sep 30, 2024 | -52.89% |
| Jun 30, 2024 | 195.65% |
| Mar 31, 2024 | -153.15% |
| Dec 31, 2023 | 240.00% |
| Sep 30, 2023 | 60.92% |
| Jun 30, 2023 | 149.15% |
| Mar 31, 2023 | 91.28% |
| Dec 31, 2022 | -785.81% |
| Sep 30, 2022 | 180.43% |
| Jun 30, 2022 | -198.40% |
| Mar 31, 2022 | 477.78% |
| Dec 31, 2021 | -118.61% |
| Sep 30, 2021 | -34.24% |
API Access
Whirlpool Corp /De/ Profit After Tax (QoQ) 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=profit-after-tax-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax-qoq", "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=profit-after-tax-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();