Whirlpool Corp /De/ (WHR-PA) Gross Margin (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Gross Margin (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.00 |
| Mar 31, 2026 | -135.00 |
| Dec 31, 2025 | -70.00 |
| Sep 30, 2025 | -144.00 |
| Jun 30, 2025 | -60.00 |
| Mar 31, 2025 | 54.00 |
| Dec 31, 2024 | 12.00 |
| Sep 30, 2024 | 41.00 |
| Jun 30, 2024 | 139.00 |
| Mar 31, 2024 | -127.00 |
| Dec 31, 2023 | -65.00 |
| Sep 30, 2023 | -81.00 |
| Jun 30, 2023 | 62.00 |
| Mar 31, 2023 | 331.00 |
| Dec 31, 2022 | -111.00 |
| Sep 30, 2022 | -338.00 |
| Jun 30, 2022 | 30.00 |
| Mar 31, 2022 | -97.00 |
| Dec 31, 2021 | -193.00 |
| Sep 30, 2021 | -28.00 |
API Access
Whirlpool Corp /De/ Gross 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=gross-margin-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();