Whirlpool Corp /De/ (WHR-PA) Profit After Tax Growth (1y) (2010 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Profit After Tax Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.61% |
| Mar 31, 2026 | -203.80% |
| Dec 31, 2025 | 127.45% |
| Sep 30, 2025 | -19.30% |
| Jun 30, 2025 | -171.49% |
| Mar 31, 2025 | 131.23% |
| Dec 31, 2024 | -185.71% |
| Sep 30, 2024 | -18.57% |
| Jun 30, 2024 | 178.16% |
| Mar 31, 2024 | -42.94% |
| Dec 31, 2023 | 123.45% |
| Sep 30, 2023 | -52.70% |
| Jun 30, 2023 | 123.64% |
| Mar 31, 2023 | -147.33% |
| Dec 31, 2022 | -1,950.51% |
| Sep 30, 2022 | -44.36% |
| Jun 30, 2022 | -145.49% |
| Mar 31, 2022 | -33.69% |
| Dec 31, 2021 | -119.76% |
| Sep 30, 2021 | 35.37% |
API Access
Whirlpool Corp /De/ Profit After Tax Growth (1y) 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-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax-growth-1y", "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-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();