Spectrum Brands Holdings (SPB) Operating Expenses (2010 - 2026)
Spectrum Brands Holdings (SPB) posted Operating Expenses of $354.5 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 52.3% from $232.8 million a year earlier and up 56.3% from the prior quarter.
Spectrum Brands Holdings (SPB) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Spectrum Brands Holdings was $1.02 billion, up 8.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $907 million, down 3.4% from FY2024.
- Annual Operating Expenses shows a three-year compound annual growth rate of -2.1% (FY2022 to FY2025).
- In prior fiscal years, Spectrum Brands Holdings' Operating Expenses was $938.7 million in FY2024 (-16.9%), $1.13 billion in FY2023 (+16.8%) and $967.2 million in FY2022.
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses since fiscal Q3 2023.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 7.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2026, with growth of 52.3%; the weakest was fiscal Q3 2024, with a decline of 34.3%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $226.8 million (Q2 2026), $214.5 million (Q1 2026) and $227.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Spectrum Brands Holdings | 1.90 Bn | 1.33 Bn | 370.40 Mn | 354.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 354.50 Mn |
| Mar 29, 2026 | 226.80 Mn |
| Dec 28, 2025 | 214.50 Mn |
| Sep 30, 2025 | 227.20 Mn |
| Jun 29, 2025 | 232.80 Mn |
| Mar 30, 2025 | 233.90 Mn |
| Dec 29, 2024 | 213.10 Mn |
| Sep 30, 2024 | 266.10 Mn |
| Jun 30, 2024 | 255.10 Mn |
| Mar 31, 2024 | 197.50 Mn |
| Dec 31, 2023 | 219.90 Mn |
| Sep 30, 2023 | 228.20 Mn |
| Jul 2, 2023 | 388.20 Mn |
| Mar 31, 2018 | 737.20 Mn |
| Dec 31, 2017 | 619.90 Mn |
| Sep 30, 2017 | -3.23 Bn |
| Jun 30, 2017 | 1.16 Bn |
| Mar 31, 2017 | 662.10 Mn |
| Dec 31, 2016 | 561.00 Mn |
| Sep 30, 2016 | 1.23 Bn |
Spectrum Brands Holdings 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=SPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();