Whirlpool (WHR) Operating Expenses (2009 - 2026)
Whirlpool's Operating Expenses was $412 million in Q2 2026, up 3.3% from $399 million a year earlier and up 14.8% from the prior quarter.
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Analysis
Whirlpool (WHR) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Whirlpool's Operating Expenses was $1.65 billion through Jun 30, 2026, up 1.1% year-over-year; for FY2025, it came in at $1.7 billion, down 3.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.76 billion in FY2024 (-12.2%), $2.01 billion in FY2023 (+9.1%), $1.84 billion in FY2022 (-13.1%) and $2.12 billion in FY2021 (-2.1%).
- Quarterly Operating Expenses has moved between $359 million (Q1 2026) and $559 million (Q4 2023) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 8.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2023 (growth of 27.8%); the worst was Q1 2022 (a decline of 25.7%).
- Per Business Quant data, WHR's Operating Expenses in the three quarters before Q2 2026 was $359 million (Q1 2026), $470 million (Q4 2025) and $411 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.91 Bn | 29.35 Bn | 1.17 Bn | 727.15 Mn |
| 2 | Somnigroup International | 14.46 Bn | 13.50 Bn | 987.70 Mn | 217.00 Mn |
| 3 | Hni | 3.56 Bn | 3.24 Bn | 678.50 Mn | 540.90 Mn |
| 4 | Newell Brands | 2.53 Bn | 1.66 Bn | 649.00 Mn | 521.00 Mn |
| 5 | Arhaus | 2.11 Bn | 1.13 Bn | 144.42 Mn | 134.34 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.65 Bn | 473.00 Mn | 463.00 Mn |
| 7 | Sonos | 2.00 Bn | 2.00 Bn | 158.73 Mn | 169.47 Mn |
| 8 | Cricut | 1.81 Bn | 714.91 Mn | 108.88 Mn | 74.99 Mn |
| 9 | Millerknoll | 1.51 Bn | 871.52 Mn | 385.30 Mn | 333.50 Mn |
| 10 | MasterBrand | 1.36 Bn | 652.31 Mn | 254.90 Mn | 235.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 463.00 Mn |
| Jun 30, 2026 | 412.00 Mn |
| Mar 31, 2026 | 359.00 Mn |
| Dec 31, 2025 | 470.00 Mn |
| Sep 30, 2025 | 411.00 Mn |
| Jun 30, 2025 | 399.00 Mn |
| Mar 31, 2025 | 416.00 Mn |
| Dec 31, 2024 | 416.00 Mn |
| Sep 30, 2024 | 403.00 Mn |
| Jun 30, 2024 | 444.00 Mn |
| Mar 31, 2024 | 500.00 Mn |
| Dec 31, 2023 | 559.00 Mn |
| Sep 30, 2023 | 478.00 Mn |
| Jun 30, 2023 | 485.00 Mn |
| Mar 31, 2023 | 487.00 Mn |
| Dec 31, 2022 | 545.00 Mn |
| Sep 30, 2022 | 449.00 Mn |
| Jun 30, 2022 | 466.00 Mn |
| Mar 31, 2022 | 381.00 Mn |
| Dec 31, 2021 | 558.00 Mn |
API Access
Whirlpool Operating 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=operating-expenses&ticker=WHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();