Whirlpool (WHR) Total Non-Current Liabilities (2009 - 2026)
Whirlpool (WHR) posted Total Non-Current Liabilities of $8.39 billion for Q2 2026, up 11.4% from $7.54 billion a year earlier and up 24.4% from the prior quarter.
Whirlpool (WHR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Whirlpool's Total Non-Current Liabilities came in at $6.77 billion, up 12.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Whirlpool's Total Non-Current Liabilities was $6.05 billion in FY2024 (-22.8%), $7.83 billion in FY2023 (-9.9%), $8.69 billion in FY2022 (+28.5%) and $6.76 billion in FY2021 (-7.5%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with an average decline of 2.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2023, with growth of 33.9%; the weakest was Q1 2025, with a decline of 25.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.75 billion (Q1 2026), $6.77 billion (Q4 2025) and $7.48 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 500.41 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 2.53 Bn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 1.03 Bn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 210.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.39 Bn |
| Mar 31, 2026 | 6.75 Bn |
| Dec 31, 2025 | 6.77 Bn |
| Sep 30, 2025 | 7.48 Bn |
| Jun 30, 2025 | 7.54 Bn |
| Mar 31, 2025 | 6.15 Bn |
| Dec 31, 2024 | 6.05 Bn |
| Sep 30, 2024 | 7.90 Bn |
| Jun 30, 2024 | 7.86 Bn |
| Mar 31, 2024 | 8.21 Bn |
| Dec 31, 2023 | 7.83 Bn |
| Sep 30, 2023 | 7.63 Bn |
| Jun 30, 2023 | 7.70 Bn |
| Mar 31, 2023 | 8.65 Bn |
| Dec 31, 2022 | 8.69 Bn |
| Sep 30, 2022 | 6.35 Bn |
| Jun 30, 2022 | 6.55 Bn |
| Mar 31, 2022 | 6.46 Bn |
| Dec 31, 2021 | 6.76 Bn |
| Sep 30, 2021 | 6.97 Bn |
Whirlpool Total Non-Current 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-non-current-liabilities&ticker=WHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();