Whirlpool Corp /De/ (WHR-PA) Cash from Operations (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Cash from Operations (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.49% |
| Mar 31, 2026 | -172.61% |
| Dec 31, 2025 | 3,351.52% |
| Sep 30, 2025 | 73.68% |
| Jun 30, 2025 | 102.64% |
| Mar 31, 2025 | -165.19% |
| Dec 31, 2024 | 416.82% |
| Sep 30, 2024 | -44.85% |
| Jun 30, 2024 | 144.44% |
| Mar 31, 2024 | -170.57% |
| Dec 31, 2023 | 2,477.08% |
| Sep 30, 2023 | -55.14% |
| Jun 30, 2023 | 122.43% |
| Mar 31, 2023 | -144.17% |
| Dec 31, 2022 | 120.41% |
| Sep 30, 2022 | 231.08% |
| Jun 30, 2022 | 145.12% |
| Mar 31, 2022 | -137.19% |
| Dec 31, 2021 | 36.11% |
| Sep 30, 2021 | 39.66% |
API Access
Whirlpool Corp /De/ Cash from Operations (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=cash-from-operations-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations-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=cash-from-operations-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();