Whirlpool Corp /De/ (WHR-PA) Cash & Equivalents (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Cash & Equivalents (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.92% |
| Mar 31, 2026 | -6.43% |
| Dec 31, 2025 | -28.37% |
| Sep 30, 2025 | -12.55% |
| Jun 30, 2025 | 4.30% |
| Mar 31, 2025 | -19.69% |
| Dec 31, 2024 | 17.62% |
| Sep 30, 2024 | -8.06% |
| Jun 30, 2024 | -4.22% |
| Mar 31, 2024 | -21.59% |
| Dec 31, 2023 | 39.80% |
| Sep 30, 2023 | -14.21% |
| Jun 30, 2023 | -3.68% |
| Mar 31, 2023 | -30.59% |
| Dec 31, 2022 | 9.14% |
| Sep 30, 2022 | 9.26% |
| Jun 30, 2022 | -22.33% |
| Mar 31, 2022 | -30.55% |
| Dec 31, 2021 | 5.88% |
| Sep 30, 2021 | -3.13% |
API Access
Whirlpool Corp /De/ Cash & Equivalents (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-and-equivalents-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-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-and-equivalents-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();