Whirlpool (WHR) Non Operating Interest Expenses (2009 - 2026)
Whirlpool's Non Operating Interest Expenses was $63 million in Q2 2026, down 26.7% from $86 million a year earlier and down 18.2% from the prior quarter.
Whirlpool (WHR) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Whirlpool's Non Operating Interest Expenses was $317 million through Jun 30, 2026, down 6.2% year-over-year; for FY2025, it was $341 million, down 4.7% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $358 million in FY2024 (+2.0%), $351 million in FY2023 (+84.7%), $190 million in FY2022 (+8.6%) and $175 million in FY2021 (-7.4%).
- The Q2 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q3 2022.
- Compared with a year earlier, Non Operating Interest Expenses was higher in 1 of the last eight quarters, with an average decline of 7.4%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2023 (growth of 137.5%); the worst was Q2 2026 (a decline of 26.7%).
- Per Business Quant data, WHR's Non Operating Interest Expenses in the three quarters before Q2 2026 was $77 million (Q1 2026), $85 million (Q4 2025) and $92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn | - |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 Mn | 59.00 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.26 Bn | 1.42 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.10 Bn | 998.62 Mn | 189.31 Mn | 110,000.00 |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn | 63.00 Mn |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn | 1.67 Mn |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn | - |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn | 16.20 Mn |
| 10 | Cricut | 1.36 Bn | 338.30 Mn | 116.41 Mn | 80,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.00 Mn |
| Mar 31, 2026 | 77.00 Mn |
| Dec 31, 2025 | 85.00 Mn |
| Sep 30, 2025 | 92.00 Mn |
| Jun 30, 2025 | 86.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 83.00 Mn |
| Sep 30, 2024 | 92.00 Mn |
| Jun 30, 2024 | 93.00 Mn |
| Mar 31, 2024 | 90.00 Mn |
| Dec 31, 2023 | 92.00 Mn |
| Sep 30, 2023 | 95.00 Mn |
| Jun 30, 2023 | 89.00 Mn |
| Mar 31, 2023 | 75.00 Mn |
| Dec 31, 2022 | 64.00 Mn |
| Sep 30, 2022 | 40.00 Mn |
| Jun 30, 2022 | 45.00 Mn |
| Mar 31, 2022 | 41.00 Mn |
| Dec 31, 2021 | 41.00 Mn |
| Sep 30, 2021 | 44.00 Mn |
Whirlpool Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=WHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=WHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();