Whirlpool (WHR) Selling, General & Administrative (2009 - 2026)
Whirlpool (WHR) posted Selling, General & Administrative of $371 million for Q2 2026, down 6.5% from $397 million a year earlier but up 3.3% from the prior quarter.
Whirlpool (WHR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Whirlpool was $1.56 billion, down 3.5% year-over-year; for FY2025, it was $1.63 billion, down 3.0% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In prior years, Whirlpool's Selling, General & Administrative was $1.68 billion in FY2024 (-15.5%), $1.99 billion in FY2023 (+9.5%), $1.82 billion in FY2022 (-12.5%) and $2.08 billion in FY2021 (+10.9%).
- Quarterly Selling, General & Administrative has run from a low of $359 million in Q1 2026 to a high of $557 million in Q4 2023 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last eight quarters, with an average decline of 8.7%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2023, with growth of 29.5%; the weakest was Q4 2024, with a decline of 25.0%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $359 million (Q1 2026), $424 million (Q4 2025) and $405 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 130.11 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 533.00 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | 519.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 30.28 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 371.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 81.23 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 117.81 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | 302.50 Mn |
| 10 | Cricut | 1.37 Bn | 340.40 Mn | 116.41 Mn | 14.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.00 Mn |
| Mar 31, 2026 | 359.00 Mn |
| Dec 31, 2025 | 424.00 Mn |
| Sep 30, 2025 | 405.00 Mn |
| Jun 30, 2025 | 397.00 Mn |
| Mar 31, 2025 | 406.00 Mn |
| Dec 31, 2024 | 418.00 Mn |
| Sep 30, 2024 | 395.00 Mn |
| Jun 30, 2024 | 394.00 Mn |
| Mar 31, 2024 | 477.00 Mn |
| Dec 31, 2023 | 557.00 Mn |
| Sep 30, 2023 | 473.00 Mn |
| Jun 30, 2023 | 476.00 Mn |
| Mar 31, 2023 | 487.00 Mn |
| Dec 31, 2022 | 537.00 Mn |
| Sep 30, 2022 | 446.00 Mn |
| Jun 30, 2022 | 461.00 Mn |
| Mar 31, 2022 | 376.00 Mn |
| Dec 31, 2021 | 555.00 Mn |
| Sep 30, 2021 | 524.00 Mn |
Whirlpool Selling, General & Administrative 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=selling-general-and-administrative&ticker=WHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();