Whirlpool Corp /De/ (WHR-PA) Net Cash Flow (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Net Cash Flow (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,005.97% |
| Mar 31, 2026 | 73.20% |
| Dec 31, 2025 | -89.39% |
| Sep 30, 2025 | -876.47% |
| Jun 30, 2025 | 105.86% |
| Mar 31, 2025 | -206.62% |
| Dec 31, 2024 | 374.75% |
| Sep 30, 2024 | 59.76% |
| Jun 30, 2024 | -44.71% |
| Mar 31, 2024 | -138.81% |
| Dec 31, 2023 | 363.86% |
| Sep 30, 2023 | -115.58% |
| Jun 30, 2023 | 87.68% |
| Mar 31, 2023 | -354.07% |
| Dec 31, 2022 | 95.24% |
| Sep 30, 2022 | 133.78% |
| Jun 30, 2022 | 61.59% |
| Mar 31, 2022 | -624.86% |
| Dec 31, 2021 | 530.23% |
| Sep 30, 2021 | -129.25% |
API Access
Whirlpool Corp /De/ Net Cash Flow (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-cash-flow-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow-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-cash-flow-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();