Whirlpool Corp /De/ (WHR-PA) Revenue Growth (5y) (2014 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Revenue Growth (5y) (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.96% |
| Mar 31, 2026 | -9.39% |
| Dec 31, 2025 | -6.70% |
| Sep 30, 2025 | -5.29% |
| Jun 30, 2025 | -1.37% |
| Mar 31, 2025 | -3.49% |
| Dec 31, 2024 | -5.13% |
| Sep 30, 2024 | -4.74% |
| Jun 30, 2024 | -5.11% |
| Mar 31, 2024 | -1.16% |
| Dec 31, 2023 | -2.11% |
| Sep 30, 2023 | -1.55% |
| Jun 30, 2023 | -1.39% |
| Mar 31, 2023 | -1.09% |
| Dec 31, 2022 | -2.90% |
| Sep 30, 2022 | -2.46% |
| Jun 30, 2022 | -0.95% |
| Mar 31, 2022 | 0.55% |
| Dec 31, 2021 | 0.56% |
| Sep 30, 2021 | 0.90% |
API Access
Whirlpool Corp /De/ Revenue 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=revenue-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue-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=revenue-growth-5y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();