Whirlpool Corp /De/ (WHR-PA) Net Margin (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Net Margin (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 473.00 |
| Mar 31, 2026 | -499.00 |
| Dec 31, 2025 | 23.00 |
| Sep 30, 2025 | 43.00 |
| Jun 30, 2025 | -24.00 |
| Mar 31, 2025 | 955.00 |
| Dec 31, 2024 | -1,095.00 |
| Sep 30, 2024 | -256.00 |
| Jun 30, 2024 | 1,155.00 |
| Mar 31, 2024 | -1,580.00 |
| Dec 31, 2023 | 842.00 |
| Sep 30, 2023 | -13.00 |
| Jun 30, 2023 | 569.00 |
| Mar 31, 2023 | 2,851.00 |
| Dec 31, 2022 | -3,539.00 |
| Sep 30, 2022 | 1,031.00 |
| Jun 30, 2022 | -1,376.00 |
| Mar 31, 2022 | 123.00 |
| Dec 31, 2021 | -356.00 |
| Sep 30, 2021 | -204.00 |
API Access
Whirlpool Corp /De/ Net Margin (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=net-margin-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin-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=net-margin-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();