Whirlpool Corp /De/ (WHR-PA) Cash & Equivalents Growth (5y) (2014 - 2026)
Analysis
Whirlpool Corp /De/ (WHR-PA) Cash & Equivalents Growth (5y) (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.03% |
| Mar 31, 2026 | -23.86% |
| Dec 31, 2025 | -25.55% |
| Sep 30, 2025 | -23.34% |
| Jun 30, 2025 | -15.95% |
| Mar 31, 2025 | -18.44% |
| Dec 31, 2024 | -8.17% |
| Sep 30, 2024 | 1.77% |
| Jun 30, 2024 | 0.02% |
| Mar 31, 2024 | 1.14% |
| Dec 31, 2023 | 0.94% |
| Sep 30, 2023 | 0.75% |
| Jun 30, 2023 | 4.37% |
| Mar 31, 2023 | 3.87% |
| Dec 31, 2022 | 10.36% |
| Sep 30, 2022 | 8.43% |
| Jun 30, 2022 | 7.23% |
| Mar 31, 2022 | 14.29% |
| Dec 31, 2021 | 22.91% |
| Sep 30, 2021 | 22.91% |
API Access
Whirlpool Corp /De/ Cash & Equivalents 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=cash-and-equivalents-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-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=cash-and-equivalents-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();