Whirlpool Corp /De/ (WHR-PA) EBIT (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) EBIT (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 805.56% |
| Mar 31, 2026 | -92.59% |
| Dec 31, 2025 | 17.96% |
| Sep 30, 2025 | 0.98% |
| Jun 30, 2025 | 10.87% |
| Mar 31, 2025 | 235.29% |
| Dec 31, 2024 | -151.32% |
| Sep 30, 2024 | 103.85% |
| Jun 30, 2024 | 212.07% |
| Mar 31, 2024 | -128.16% |
| Dec 31, 2023 | 60.31% |
| Sep 30, 2023 | -15.18% |
| Jun 30, 2023 | 604.65% |
| Mar 31, 2023 | 103.00% |
| Dec 31, 2022 | -747.96% |
| Sep 30, 2022 | 172.22% |
| Jun 30, 2022 | -166.38% |
| Mar 31, 2022 | -6.68% |
| Dec 31, 2021 | -10.51% |
| Sep 30, 2021 | -19.18% |
API Access
Whirlpool Corp /De/ EBIT (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=ebit-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();