Whirlpool Corp /De/ (WHR-PA) Dividend Coverage Ratio Growth (1y) (2010 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Dividend Coverage Ratio Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,019.23% |
| Mar 31, 2026 | -300.22% |
| Dec 31, 2025 | 158.22% |
| Sep 30, 2025 | 15.42% |
| Jun 30, 2025 | -72.74% |
| Mar 31, 2025 | 127.48% |
| Dec 31, 2024 | -158.86% |
| Sep 30, 2024 | 57.44% |
| Jun 30, 2024 | 162.22% |
| Mar 31, 2024 | -45.95% |
| Dec 31, 2023 | 132.84% |
| Sep 30, 2023 | -42.70% |
| Jun 30, 2023 | 124.64% |
| Mar 31, 2023 | -158.55% |
| Dec 31, 2022 | -562.18% |
| Sep 30, 2022 | -72.62% |
| Jun 30, 2022 | -157.72% |
| Mar 31, 2022 | -44.04% |
| Dec 31, 2021 | -43.09% |
| Sep 30, 2021 | 10.72% |
API Access
Whirlpool Corp /De/ Dividend Coverage Ratio 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=dividend-coverage-ratio-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio-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=dividend-coverage-ratio-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();