Whirlpool Corp /De/ (WHR-PA) Operating Margin Growth (5y) (2014 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Operating Margin Growth (5y) (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -819.00 |
| Mar 31, 2026 | -1,098.00 |
| Dec 31, 2025 | -642.00 |
| Sep 30, 2025 | -553.00 |
| Jun 30, 2025 | 365.00 |
| Mar 31, 2025 | -100.00 |
| Dec 31, 2024 | -1,117.00 |
| Sep 30, 2024 | -698.00 |
| Jun 30, 2024 | -42.00 |
| Mar 31, 2024 | -811.00 |
| Dec 31, 2023 | 264.00 |
| Sep 30, 2023 | -40.00 |
| Jun 30, 2023 | 1,551.00 |
| Mar 31, 2023 | -199.00 |
| Dec 31, 2022 | -3,377.00 |
| Sep 30, 2022 | -149.00 |
| Jun 30, 2022 | -1,113.00 |
| Mar 31, 2022 | 385.00 |
| Dec 31, 2021 | 247.00 |
| Sep 30, 2021 | 293.00 |
API Access
Whirlpool Corp /De/ Operating Margin 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=operating-margin-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin-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=operating-margin-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();