Whirlpool Corp /De/ (WHR-PA) Net Margin Growth (5y) (2014 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Net Margin Growth (5y) (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -876.00 |
| Mar 31, 2026 | -1,081.00 |
| Dec 31, 2025 | -628.00 |
| Sep 30, 2025 | -527.00 |
| Jun 30, 2025 | 123.00 |
| Mar 31, 2025 | -148.00 |
| Dec 31, 2024 | -1,265.00 |
| Sep 30, 2024 | -379.00 |
| Jun 30, 2024 | 453.00 |
| Mar 31, 2024 | -1,559.00 |
| Dec 31, 2023 | 716.00 |
| Sep 30, 2023 | -231.00 |
| Jun 30, 2023 | 1,431.00 |
| Mar 31, 2023 | -572.00 |
| Dec 31, 2022 | -2,755.00 |
| Sep 30, 2022 | -195.00 |
| Jun 30, 2022 | -1,059.00 |
| Mar 31, 2022 | 322.00 |
| Dec 31, 2021 | 201.00 |
| Sep 30, 2021 | 421.00 |
API Access
Whirlpool Corp /De/ Net Margin Growth (5y) 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=net-margin-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin-growth-5y", "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=net-margin-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();