Whirlpool Corp /De/ (WHR-PA) Profit After Tax Growth (5y) (2014 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Profit After Tax Growth (5y) (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.00% |
| Mar 31, 2026 | -16.49% |
| Dec 31, 2025 | -25.89% |
| Sep 30, 2025 | -25.20% |
| Jun 30, 2025 | -60.50% |
| Mar 31, 2025 | -11.92% |
| Dec 31, 2024 | -27.86% |
| Sep 30, 2024 | -20.72% |
| Jun 30, 2024 | 27.44% |
| Mar 31, 2024 | -20.44% |
| Dec 31, 2023 | 22.87% |
| Sep 30, 2023 | -8.31% |
| Jun 30, 2023 | 16.35% |
| Mar 31, 2023 | -31.17% |
| Dec 31, 2022 | -49.48% |
| Sep 30, 2022 | 1.41% |
| Jun 30, 2022 | -31.60% |
| Mar 31, 2022 | 18.81% |
| Dec 31, 2021 | -20.42% |
| Sep 30, 2021 | 16.87% |
API Access
Whirlpool Corp /De/ Profit After Tax Growth (5y) 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-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax-growth-5y", "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-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();