Whirlpool Corp /De/ (WHR-PA) Dividend Coverage Ratio (QoQ) (2009 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Dividend Coverage Ratio (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 611.76% |
| Mar 31, 2026 | -177.76% |
| Dec 31, 2025 | 16.98% |
| Sep 30, 2025 | 140.43% |
| Jun 30, 2025 | -8.45% |
| Mar 31, 2025 | 122.61% |
| Dec 31, 2024 | -331.91% |
| Sep 30, 2024 | -43.22% |
| Jun 30, 2024 | 192.31% |
| Mar 31, 2024 | -148.42% |
| Dec 31, 2023 | 520.35% |
| Sep 30, 2023 | -5.43% |
| Jun 30, 2023 | 151.38% |
| Mar 31, 2023 | 89.10% |
| Dec 31, 2022 | -1,182.31% |
| Sep 30, 2022 | 140.68% |
| Jun 30, 2022 | -222.06% |
| Mar 31, 2022 | -13.99% |
| Dec 31, 2021 | -35.88% |
| Sep 30, 2021 | -14.26% |
API Access
Whirlpool Corp /De/ Dividend Coverage Ratio (QoQ) 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-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio-qoq", "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-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();