Whirlpool Corp /De/ (WHR-PA) Revenue Growth (1y) (2010 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Revenue Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.79% |
| Mar 31, 2026 | -9.61% |
| Dec 31, 2025 | -0.92% |
| Sep 30, 2025 | 1.00% |
| Jun 30, 2025 | -5.41% |
| Mar 31, 2025 | -19.35% |
| Dec 31, 2024 | -18.71% |
| Sep 30, 2024 | -18.94% |
| Jun 30, 2024 | -16.76% |
| Mar 31, 2024 | -3.42% |
| Dec 31, 2023 | 3.35% |
| Sep 30, 2023 | 2.97% |
| Jun 30, 2023 | -5.98% |
| Mar 31, 2023 | -5.51% |
| Dec 31, 2022 | -15.34% |
| Sep 30, 2022 | -12.83% |
| Jun 30, 2022 | -4.26% |
| Mar 31, 2022 | -8.17% |
| Dec 31, 2021 | 0.29% |
| Sep 30, 2021 | 3.72% |
API Access
Whirlpool Corp /De/ Revenue 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=revenue-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue-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=revenue-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();