Whirlpool Corp /De/ (WHR-PA) Tax Rate Growth (1y) (2010 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Tax Rate Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,084.00 |
| Mar 31, 2026 | -5,839.00 |
| Dec 31, 2025 | 7,079.00 |
| Sep 30, 2025 | 236.00 |
| Jun 30, 2025 | 71,063.00 |
| Mar 31, 2025 | 7,387.00 |
| Dec 31, 2024 | 1,521.00 |
| Sep 30, 2024 | -2,486.00 |
| Jun 30, 2024 | -74,255.00 |
| Mar 31, 2024 | 1,945.00 |
| Dec 31, 2023 | -5,406.00 |
| Sep 30, 2023 | 2,350.00 |
| Jun 30, 2023 | 6,703.00 |
| Mar 31, 2023 | -8,721.00 |
| Dec 31, 2022 | -3,942.00 |
| Sep 30, 2022 | 944.00 |
| Jun 30, 2022 | -2,509.00 |
| Mar 31, 2022 | -172.00 |
| Dec 31, 2021 | 1,180.00 |
| Sep 30, 2021 | -934.00 |
API Access
Whirlpool Corp /De/ Tax Rate 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=tax-rate-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-rate-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=tax-rate-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();