Whirlpool Corp /De/ (WHR-PA) Dividends Paid - Common (QoQ) (2009 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Dividends Paid - Common (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -82.76% |
| Mar 31, 2026 | 11.54% |
| Dec 31, 2025 | -3.70% |
| Sep 30, 2025 | -44.33% |
| Jun 30, 2025 | 0.00% |
| Mar 31, 2025 | 0.00% |
| Dec 31, 2024 | 1.04% |
| Sep 30, 2024 | 0.00% |
| Jun 30, 2024 | 1.05% |
| Mar 31, 2024 | 1.06% |
| Dec 31, 2023 | -3.09% |
| Sep 30, 2023 | 1.04% |
| Jun 30, 2023 | -1.03% |
| Mar 31, 2023 | 2.11% |
| Dec 31, 2022 | 0.00% |
| Sep 30, 2022 | -2.06% |
| Jun 30, 2022 | -5.83% |
| Mar 31, 2022 | 21.18% |
| Dec 31, 2021 | -1.16% |
| Sep 30, 2021 | -2.27% |
API Access
Whirlpool Corp /De/ Dividends Paid - Common (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=dividends-paid-common-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-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=dividends-paid-common-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();