Whirlpool Corp /De/ (WHR-PA) Property, Plant & Equipment (Net) Growth (3y) (2012 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Property, Plant & Equipment (Net) Growth (3y) (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.48% |
| Mar 31, 2026 | 3.55% |
| Dec 31, 2025 | 1.44% |
| Sep 30, 2025 | -3.49% |
| Jun 30, 2025 | -4.18% |
| Mar 31, 2025 | -6.17% |
| Dec 31, 2024 | -6.74% |
| Sep 30, 2024 | -5.99% |
| Jun 30, 2024 | -6.23% |
| Mar 31, 2024 | -7.00% |
| Dec 31, 2023 | -11.28% |
| Sep 30, 2023 | -11.82% |
| Jun 30, 2023 | -12.01% |
| Mar 31, 2023 | -12.64% |
| Dec 31, 2022 | -13.97% |
| Sep 30, 2022 | -7.09% |
| Jun 30, 2022 | -7.64% |
| Mar 31, 2022 | -6.28% |
| Dec 31, 2021 | -6.34% |
| Sep 30, 2021 | -7.21% |
API Access
Whirlpool Corp /De/ Property, Plant & Equipment (Net) Growth (3y) 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-3y&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-3y", "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-3y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();