Spectrum Brands Holdings (SPB) EBITDA (2010 - 2026)
Spectrum Brands Holdings (SPB) posted EBITDA of $40.7 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 27.8% from $56.4 million a year earlier and down 39.9% from the prior quarter.
Powered by 
Analysis
Spectrum Brands Holdings (SPB) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EBITDA at Spectrum Brands Holdings was $214.6 million, down 1.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $222.9 million, down 18.2% from FY2024.
- Annual EBITDA shows a three-year compound annual growth rate of 22.1% (FY2022 to FY2025).
- In prior fiscal years, Spectrum Brands Holdings' EBITDA was $272.4 million in FY2024, -$114.4 million in FY2023 and $122.5 million in FY2022.
- The fiscal Q3 2026 figure stands as the lowest quarterly EBITDA since fiscal Q4 2023.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with an average decline of 1.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2026, with growth of 53.9%; the weakest was fiscal Q2 2025, with a decline of 56.6%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $67.7 million (Q2 2026), $52.9 million (Q1 2026) and $53.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Spectrum Brands Holdings | 1.90 Bn | 1.33 Bn | 370.40 Mn | 40.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 40.70 Mn |
| Mar 29, 2026 | 67.70 Mn |
| Dec 28, 2025 | 52.90 Mn |
| Sep 30, 2025 | 53.30 Mn |
| Jun 29, 2025 | 56.40 Mn |
| Mar 30, 2025 | 44.00 Mn |
| Dec 29, 2024 | 69.20 Mn |
| Sep 30, 2024 | 47.50 Mn |
| Jun 30, 2024 | 72.90 Mn |
| Mar 31, 2024 | 101.30 Mn |
| Dec 31, 2023 | 50.50 Mn |
| Sep 30, 2023 | 39.80 Mn |
| Jul 2, 2023 | -102.10 Mn |
| Mar 31, 2018 | 77.40 Mn |
| Dec 31, 2017 | 74.70 Mn |
| Sep 30, 2017 | 158.90 Mn |
| Jun 30, 2017 | 213.80 Mn |
| Mar 31, 2017 | 150.20 Mn |
| Dec 31, 2016 | 95.20 Mn |
| Sep 30, 2016 | 182.10 Mn |
API Access
Spectrum Brands Holdings EBITDA 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=ebitda&ticker=SPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();