Whirlpool Corp /De/ (WHR-PA) Operating Income Growth (1y) (2010 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Operating Income Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.10% |
| Mar 31, 2026 | -90.22% |
| Dec 31, 2025 | 278.68% |
| Sep 30, 2025 | -22.26% |
| Jun 30, 2025 | 56.92% |
| Mar 31, 2025 | 258.62% |
| Dec 31, 2024 | -133.01% |
| Sep 30, 2024 | 3.11% |
| Jun 30, 2024 | -57.10% |
| Mar 31, 2024 | -369.77% |
| Dec 31, 2023 | 128.77% |
| Sep 30, 2023 | 16.29% |
| Jun 30, 2023 | 199.02% |
| Mar 31, 2023 | -90.67% |
| Dec 31, 2022 | -389.88% |
| Sep 30, 2022 | -59.96% |
| Jun 30, 2022 | -144.80% |
| Mar 31, 2022 | -25.40% |
| Dec 31, 2021 | -31.01% |
| Sep 30, 2021 | -1.95% |
API Access
Whirlpool Corp /De/ Operating Income 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=operating-income-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income-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=operating-income-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();