Spectrum Brands Holdings (SPB) Selling, General & Administrative (2010 - 2026)
Spectrum Brands Holdings' Selling, General & Administrative was $250.5 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 11.3% from $225 million a year earlier and up 10.4% from the prior quarter.
Spectrum Brands Holdings (SPB) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Spectrum Brands Holdings' Selling, General & Administrative was $918.1 million through Jun 28, 2026, down 0.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $882.6 million, down 7.4% from FY2024.
- Selling, General & Administrative shows a three-year compound annual growth rate of -3.9% (FY2022 to FY2025).
- In earlier fiscal years, Selling, General & Administrative was $953.4 million in FY2024 (+7.3%), $888.8 million in FY2023 (-10.7%) and $995.7 million in FY2022.
- The fiscal Q3 2026 figure marks the highest quarterly Selling, General & Administrative since fiscal Q4 2024.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 1.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q4 2024 (growth of 21.6%); the worst was fiscal Q4 2025 (a decline of 14.4%).
- Per Business Quant data, SPB's Selling, General & Administrative in the three fiscal quarters before Q3 2026 was $226.8 million (Q2 2026), $214.5 million (Q1 2026) and $226.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Spectrum Brands Holdings | 1.83 Bn | 1.25 Bn | 370.40 Mn | 250.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 250.50 Mn |
| Mar 29, 2026 | 226.80 Mn |
| Dec 28, 2025 | 214.50 Mn |
| Sep 30, 2025 | 226.30 Mn |
| Jun 29, 2025 | 225.00 Mn |
| Mar 30, 2025 | 218.20 Mn |
| Dec 29, 2024 | 213.10 Mn |
| Sep 30, 2024 | 264.40 Mn |
| Jun 30, 2024 | 250.00 Mn |
| Mar 31, 2024 | 223.50 Mn |
| Dec 31, 2023 | 219.90 Mn |
| Sep 30, 2023 | 217.40 Mn |
| Jul 2, 2023 | 223.40 Mn |
| Mar 31, 2018 | 242.40 Mn |
| Dec 31, 2017 | 216.10 Mn |
| Sep 30, 2017 | -926.10 Mn |
| Jun 30, 2017 | 325.20 Mn |
| Mar 31, 2017 | 216.50 Mn |
| Dec 31, 2016 | 198.90 Mn |
| Sep 30, 2016 | 238.60 Mn |
Spectrum Brands Holdings 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=SPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SPB", "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=SPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();