Whirlpool (WHR) Accumulated Expenses (2009 - 2026)
Whirlpool (WHR) recorded Accumulated Expenses of $387 million in Q2 2026, down 5.4% from $409 million a year earlier and down 7.6% from the prior quarter.
Whirlpool (WHR) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Whirlpool reported Accumulated Expenses of $448 million, down 1.5% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $455 million in FY2024 (-7.3%), $491 million in FY2023 (+2.1%), $481 million in FY2022 (-21.0%) and $609 million in FY2021 (-4.4%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Accumulated Expenses has declined for seven consecutive quarters, with an average decline of 4.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 7.2% in Q3 2024, against a decline of 28.8% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $419 million (Q1 2026), $448 million (Q4 2025) and $414 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 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 |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn |
| 10 | Cricut | 1.36 Bn | 338.30 Mn | 116.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 387.00 Mn |
| Mar 31, 2026 | 419.00 Mn |
| Dec 31, 2025 | 448.00 Mn |
| Sep 30, 2025 | 414.00 Mn |
| Jun 30, 2025 | 409.00 Mn |
| Mar 31, 2025 | 446.00 Mn |
| Dec 31, 2024 | 455.00 Mn |
| Sep 30, 2024 | 459.00 Mn |
| Jun 30, 2024 | 448.00 Mn |
| Mar 31, 2024 | 459.00 Mn |
| Dec 31, 2023 | 491.00 Mn |
| Sep 30, 2023 | 428.00 Mn |
| Jun 30, 2023 | 444.00 Mn |
| Mar 31, 2023 | 542.00 Mn |
| Dec 31, 2022 | 481.00 Mn |
| Sep 30, 2022 | 580.00 Mn |
| Jun 30, 2022 | 624.00 Mn |
| Mar 31, 2022 | 685.00 Mn |
| Dec 31, 2021 | 609.00 Mn |
| Sep 30, 2021 | 696.00 Mn |
Whirlpool Accumulated 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=accumulated-expenses&ticker=WHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();