Whirlpool Corp /De/ (WHR-PA) Gross Profit (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Gross Profit (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.51% |
| Mar 31, 2026 | -27.83% |
| Dec 31, 2025 | -3.20% |
| Sep 30, 2025 | -2.62% |
| Jun 30, 2025 | 0.49% |
| Mar 31, 2025 | -9.54% |
| Dec 31, 2024 | 4.35% |
| Sep 30, 2024 | 2.72% |
| Jun 30, 2024 | -2.49% |
| Mar 31, 2024 | -18.94% |
| Dec 31, 2023 | -0.88% |
| Sep 30, 2023 | -2.08% |
| Jun 30, 2023 | 6.95% |
| Mar 31, 2023 | 18.29% |
| Dec 31, 2022 | -5.15% |
| Sep 30, 2022 | -24.19% |
| Jun 30, 2022 | 5.41% |
| Mar 31, 2022 | -19.87% |
| Dec 31, 2021 | -4.15% |
| Sep 30, 2021 | 1.65% |
API Access
Whirlpool Corp /De/ Gross Profit (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-profit-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit-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-profit-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();