Whirlpool Corp /De/ (WHR-PA) Tax Rate (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Tax Rate (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,058.00 |
| Mar 31, 2026 | -5,486.00 |
| Dec 31, 2025 | -9.00 |
| Sep 30, 2025 | 353.00 |
| Jun 30, 2025 | -697.00 |
| Mar 31, 2025 | 7,431.00 |
| Dec 31, 2024 | -6,852.00 |
| Sep 30, 2024 | 71,181.00 |
| Jun 30, 2024 | -64,373.00 |
| Mar 31, 2024 | 1,565.00 |
| Dec 31, 2023 | -10,859.00 |
| Sep 30, 2023 | -588.00 |
| Jun 30, 2023 | 11,827.00 |
| Mar 31, 2023 | -5,785.00 |
| Dec 31, 2022 | -3,103.00 |
| Sep 30, 2022 | 3,764.00 |
| Jun 30, 2022 | -3,597.00 |
| Mar 31, 2022 | -1,006.00 |
| Dec 31, 2021 | 1,782.00 |
| Sep 30, 2021 | 312.00 |
API Access
Whirlpool Corp /De/ Tax Rate (QoQ) 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-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-rate-qoq", "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-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();