Whirlpool Corp /De/ (WHR-PA) Total Debt (QoQ) (2010 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) Total Debt (QoQ) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.53% |
| Mar 31, 2026 | -1.03% |
| Dec 31, 2025 | -22.52% |
| Sep 30, 2025 | -0.86% |
| Jun 30, 2025 | 16.24% |
| Mar 31, 2025 | -13.85% |
| Dec 31, 2024 | 11.53% |
| Sep 30, 2024 | -3.42% |
| Jun 30, 2024 | 2.54% |
| Mar 31, 2024 | -4.45% |
| Dec 31, 2023 | 4.79% |
| Sep 30, 2023 | -0.73% |
| Jun 30, 2023 | 0.38% |
| Mar 31, 2023 | -2.19% |
| Dec 31, 2022 | 57.96% |
| Sep 30, 2022 | -2.35% |
| Jun 30, 2022 | -1.75% |
| Mar 31, 2022 | -6.25% |
| Dec 31, 2021 | 5.01% |
| Sep 30, 2021 | -0.72% |
API Access
Whirlpool Corp /De/ Total Debt (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=total-debt-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt-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=total-debt-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();