Whirlpool Corp /De/ (WHR-PA) Assets (QoQ) (2010 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Assets (QoQ) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.10% |
| Mar 31, 2026 | 1.10% |
| Dec 31, 2025 | -5.28% |
| Sep 30, 2025 | 0.80% |
| Jun 30, 2025 | 1.48% |
| Mar 31, 2025 | 1.31% |
| Dec 31, 2024 | -5.01% |
| Sep 30, 2024 | -1.06% |
| Jun 30, 2024 | -0.16% |
| Mar 31, 2024 | 0.34% |
| Dec 31, 2023 | 2.50% |
| Sep 30, 2023 | -0.54% |
| Jun 30, 2023 | 0.69% |
| Mar 31, 2023 | -1.52% |
| Dec 31, 2022 | -2.21% |
| Sep 30, 2022 | -4.58% |
| Jun 30, 2022 | -5.82% |
| Mar 31, 2022 | -3.93% |
| Dec 31, 2021 | -0.53% |
| Sep 30, 2021 | 1.56% |
API Access
Whirlpool Corp /De/ Assets (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=assets-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets-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=assets-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();