Whirlpool Corp /De/ (WHR-PA) Net Cash Flow Growth (1y) (2010 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Net Cash Flow Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,470.59% |
| Mar 31, 2026 | 76.90% |
| Dec 31, 2025 | -191.91% |
| Sep 30, 2025 | -33.33% |
| Jun 30, 2025 | 106.91% |
| Mar 31, 2025 | -70.59% |
| Dec 31, 2024 | -37.90% |
| Sep 30, 2024 | 40.36% |
| Jun 30, 2024 | -219.48% |
| Mar 31, 2024 | 72.80% |
| Dec 31, 2023 | 78.05% |
| Sep 30, 2023 | -231.75% |
| Jun 30, 2023 | 79.36% |
| Mar 31, 2023 | 35.63% |
| Dec 31, 2022 | 32.97% |
| Sep 30, 2022 | 393.02% |
| Jun 30, 2022 | -353.74% |
| Mar 31, 2022 | -766.96% |
| Dec 31, 2021 | 126.28% |
| Sep 30, 2021 | -104.38% |
API Access
Whirlpool Corp /De/ Net Cash Flow 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=net-cash-flow-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow-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=net-cash-flow-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();