Whirlpool (WHR) Total Liabilities (2009 - 2026)
Whirlpool (WHR) recorded Total Liabilities of $13.39 billion in Q2 2026, down 5.5% from $14.18 billion a year earlier but up 8.0% from the prior quarter.
Whirlpool (WHR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Whirlpool reported Total Liabilities of $13.28 billion, down 0.7% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $13.37 billion in FY2024 (-9.5%), $14.78 billion in FY2023 (+1.1%), $14.62 billion in FY2022 (-4.3%) and $15.27 billion in FY2021 (-2.4%).
- Quarterly Total Liabilities has ranged from $12.41 billion in Q1 2026 to $15.27 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 11.3% in Q3 2023, against a decline of 13.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.41 billion (Q1 2026), $13.28 billion (Q4 2025) and $14.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn | 551.41 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn | 2.65 Bn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn | 217.49 Mn |
| 10 | Arhaus | 1.34 Bn | 419.18 Mn | 172.07 Mn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.39 Bn |
| Mar 31, 2026 | 12.41 Bn |
| Dec 31, 2025 | 13.28 Bn |
| Sep 30, 2025 | 14.25 Bn |
| Jun 30, 2025 | 14.18 Bn |
| Mar 31, 2025 | 13.69 Bn |
| Dec 31, 2024 | 13.37 Bn |
| Sep 30, 2024 | 13.87 Bn |
| Jun 30, 2024 | 13.98 Bn |
| Mar 31, 2024 | 14.76 Bn |
| Dec 31, 2023 | 14.78 Bn |
| Sep 30, 2023 | 14.65 Bn |
| Jun 30, 2023 | 14.79 Bn |
| Mar 31, 2023 | 14.63 Bn |
| Dec 31, 2022 | 14.62 Bn |
| Sep 30, 2022 | 13.16 Bn |
| Jun 30, 2022 | 14.14 Bn |
| Mar 31, 2022 | 14.74 Bn |
| Dec 31, 2021 | 15.27 Bn |
| Sep 30, 2021 | 15.27 Bn |
Whirlpool Total Liabilities 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-liabilities&ticker=WHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "WHR", "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-liabilities&ticker=WHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();