Spectrum Brands Holdings (SPB) Depreciation and Depletion (2010 - 2026)
Spectrum Brands Holdings (SPB) posted Depreciation and Depletion of $14.5 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 0.7% from $14.6 million a year earlier but up 4.3% from the prior quarter.
Spectrum Brands Holdings (SPB) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Depreciation and Depletion at Spectrum Brands Holdings was $57.8 million, up 1.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $56.4 million, down 1.6% from FY2024.
- Annual Depreciation and Depletion shows a three-year compound annual growth rate of 4.8% (FY2022 to FY2025).
- In prior fiscal years, Spectrum Brands Holdings' Depreciation and Depletion was $57.3 million in FY2024 (+17.2%), $48.9 million in FY2023 (-0.2%) and $49 million in FY2022.
- Quarterly Depreciation and Depletion has run from a low of $12.1 million in fiscal Q3 2023 to a high of $15.6 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in three of the last eight quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q3 2024, with growth of 16.5%; the weakest was fiscal Q4 2025, with a decline of 4.2%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $13.9 million (Q2 2026), $15.6 million (Q1 2026) and $13.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | - |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Spectrum Brands Holdings | 1.83 Bn | 1.25 Bn | 370.40 Mn | 14.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 14.50 Mn |
| Mar 29, 2026 | 13.90 Mn |
| Dec 28, 2025 | 15.60 Mn |
| Sep 30, 2025 | 13.80 Mn |
| Jun 29, 2025 | 14.60 Mn |
| Mar 30, 2025 | 14.00 Mn |
| Dec 29, 2024 | 14.00 Mn |
| Sep 30, 2024 | 14.40 Mn |
| Jun 30, 2024 | 14.10 Mn |
| Mar 31, 2024 | 14.30 Mn |
| Dec 31, 2023 | 14.40 Mn |
| Sep 30, 2023 | 12.70 Mn |
| Jul 2, 2023 | 12.10 Mn |
| Mar 31, 2018 | 19.70 Mn |
| Dec 31, 2017 | 18.10 Mn |
| Sep 30, 2017 | 31.40 Mn |
| Jun 30, 2017 | 41.80 Mn |
| Mar 31, 2017 | 16.00 Mn |
| Dec 31, 2016 | 14.90 Mn |
| Sep 30, 2016 | 23.20 Mn |
Spectrum Brands Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=SPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();