Whirlpool Corp /De/ (WHR-PA) Capital Expenditures (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Capital Expenditures (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.24% |
| Mar 31, 2026 | -54.67% |
| Dec 31, 2025 | 76.47% |
| Sep 30, 2025 | 3.66% |
| Jun 30, 2025 | 13.89% |
| Mar 31, 2025 | -47.06% |
| Dec 31, 2024 | 56.32% |
| Sep 30, 2024 | -23.01% |
| Jun 30, 2024 | -1.74% |
| Mar 31, 2024 | -45.50% |
| Dec 31, 2023 | 74.38% |
| Sep 30, 2023 | 0.00% |
| Jun 30, 2023 | 26.04% |
| Mar 31, 2023 | -59.32% |
| Dec 31, 2022 | 101.71% |
| Sep 30, 2022 | -10.00% |
| Jun 30, 2022 | 49.43% |
| Mar 31, 2022 | -60.27% |
| Dec 31, 2021 | 79.51% |
| Sep 30, 2021 | 9.91% |
API Access
Whirlpool Corp /De/ Capital Expenditures (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=capital-expenditures-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures-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=capital-expenditures-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();