Whirlpool Corp /De/ (WHR-PA) Property, Plant & Equipment (Net) (QoQ) (2010 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Property, Plant & Equipment (Net) (QoQ) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.54% |
| Mar 31, 2026 | 6.47% |
| Dec 31, 2025 | -4.98% |
| Sep 30, 2025 | 0.39% |
| Jun 30, 2025 | 0.74% |
| Mar 31, 2025 | 0.35% |
| Dec 31, 2024 | 0.93% |
| Sep 30, 2024 | 0.00% |
| Jun 30, 2024 | 0.63% |
| Mar 31, 2024 | 0.27% |
| Dec 31, 2023 | 3.91% |
| Sep 30, 2023 | 0.75% |
| Jun 30, 2023 | 1.43% |
| Mar 31, 2023 | 0.10% |
| Dec 31, 2022 | -18.18% |
| Sep 30, 2022 | -1.72% |
| Jun 30, 2022 | -5.43% |
| Mar 31, 2022 | -1.46% |
| Dec 31, 2021 | 3.39% |
| Sep 30, 2021 | -0.77% |
API Access
Whirlpool Corp /De/ Property, Plant & Equipment (Net) (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=property-plant-and-equipment-net-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-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=property-plant-and-equipment-net-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();