Whirlpool Corp /De/ (WHR-PA) Profit After Tax Growth (3y) (2012 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Profit After Tax Growth (3y) (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.06% |
| Mar 31, 2026 | 22.62% |
| Dec 31, 2025 | 27.14% |
| Sep 30, 2025 | -32.26% |
| Jun 30, 2025 | 22.24% |
| Mar 31, 2025 | -40.44% |
| Dec 31, 2024 | -60.33% |
| Sep 30, 2024 | -40.16% |
| Jun 30, 2024 | -33.12% |
| Mar 31, 2024 | -34.78% |
| Dec 31, 2023 | -1.69% |
| Sep 30, 2023 | -29.11% |
| Jun 30, 2023 | 63.24% |
| Mar 31, 2023 | -47.18% |
| Dec 31, 2022 | -108.38% |
| Sep 30, 2022 | -6.66% |
| Jun 30, 2022 | -92.30% |
| Mar 31, 2022 | -7.59% |
| Dec 31, 2021 | -37.20% |
| Sep 30, 2021 | 35.05% |
API Access
Whirlpool Corp /De/ Profit After Tax 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=profit-after-tax-growth-3y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax-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=profit-after-tax-growth-3y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();