Utz Brands (UTZ) Depreciation and Depletion (2019 - 2026)
Utz Brands (UTZ) posted Depreciation and Depletion of $13.6 million for Q2 2026, up 14.3% from $11.9 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Utz Brands (UTZ) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Depreciation and Depletion at Utz Brands was $50.5 million, up 34.0% year-over-year; for FY2025, it was $45 million, up 34.7% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 63.9% (FY2020 to FY2025).
- In prior years, Utz Brands' Depreciation and Depletion was $33.4 million in FY2024 (-17.5%), $40.5 million in FY2023 (-15.3%), $47.8 million in FY2022 and $12.4 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion since Q4 2022.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last six quarters, with growth averaging 20.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2025, with growth of 53.7%; the weakest was Q4 2023, with a decline of 40.0%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $13.2 million (Q1 2026), $12.6 million (Q4 2025) and $11.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Utz Brands | 2.05 Bn | 2.36 Bn | 96.20 Mn | 13.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 13.60 Mn |
| Mar 29, 2026 | 13.20 Mn |
| Dec 28, 2025 | 12.60 Mn |
| Sep 28, 2025 | 11.10 Mn |
| Jun 29, 2025 | 11.90 Mn |
| Mar 30, 2025 | 9.40 Mn |
| Dec 29, 2024 | 8.20 Mn |
| Sep 29, 2024 | 8.20 Mn |
| Jun 30, 2024 | 8.20 Mn |
| Mar 31, 2024 | 8.70 Mn |
| Dec 31, 2023 | 9.60 Mn |
| Oct 1, 2023 | 10.00 Mn |
| Jul 2, 2023 | 10.60 Mn |
| Apr 2, 2023 | 10.40 Mn |
| Jan 1, 2023 | 16.00 Mn |
| Oct 2, 2022 | 12.00 Mn |
| Jul 3, 2022 | 12.70 Mn |
| Apr 3, 2022 | 12.40 Mn |
| Oct 3, 2021 | 11.50 Mn |
| Jul 4, 2021 | 10.20 Mn |
API Access
Utz Brands 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=UTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "UTZ", "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=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();