Whirlpool Corp /De/ (WHR-PA) Property, Plant & Equipment (Net) Growth (1y) (2010 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Property, Plant & Equipment (Net) Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.04% |
| Mar 31, 2026 | 2.32% |
| Dec 31, 2025 | -3.56% |
| Sep 30, 2025 | 2.44% |
| Jun 30, 2025 | 2.04% |
| Mar 31, 2025 | 1.92% |
| Dec 31, 2024 | 1.84% |
| Sep 30, 2024 | 4.84% |
| Jun 30, 2024 | 5.62% |
| Mar 31, 2024 | 6.46% |
| Dec 31, 2023 | 6.28% |
| Sep 30, 2023 | -16.31% |
| Jun 30, 2023 | -18.36% |
| Mar 31, 2023 | -23.88% |
| Dec 31, 2022 | -25.06% |
| Sep 30, 2022 | -5.31% |
| Jun 30, 2022 | -4.39% |
| Mar 31, 2022 | -0.75% |
| Dec 31, 2021 | -12.32% |
| Sep 30, 2021 | -13.49% |
API Access
Whirlpool Corp /De/ Property, Plant & Equipment (Net) Growth (1y) 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-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-growth-1y", "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-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();