Whirlpool Corp /De/ (WHR-PA) Gross Profit Growth (1y) (2010 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Gross Profit Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.54% |
| Mar 31, 2026 | -31.63% |
| Dec 31, 2025 | -14.31% |
| Sep 30, 2025 | -7.62% |
| Jun 30, 2025 | -2.56% |
| Mar 31, 2025 | -5.45% |
| Dec 31, 2024 | -15.28% |
| Sep 30, 2024 | -19.52% |
| Jun 30, 2024 | -23.28% |
| Mar 31, 2024 | -15.86% |
| Dec 31, 2023 | 22.79% |
| Sep 30, 2023 | 17.50% |
| Jun 30, 2023 | -9.03% |
| Mar 31, 2023 | -10.34% |
| Dec 31, 2022 | -39.27% |
| Sep 30, 2022 | -38.63% |
| Jun 30, 2022 | -17.71% |
| Mar 31, 2022 | -25.87% |
| Dec 31, 2021 | -22.14% |
| Sep 30, 2021 | -3.48% |
API Access
Whirlpool Corp /De/ Gross Profit 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=gross-profit-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit-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=gross-profit-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();