Utz Brands (UTZ) Depreciation & Amortization (CF) (2019 - 2026)
Utz Brands' Depreciation & Amortization (CF) was $22.9 million in Q2 2026, up 7.5% from $21.3 million a year earlier and up 1.8% from the prior quarter.
Utz Brands (UTZ) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Utz Brands' Depreciation & Amortization (CF) was $87.8 million through Jun 28, 2026, up 17.1% year-over-year; for FY2025, it came in at $82.4 million, up 16.2% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 71.6% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $70.9 million in FY2024 (-10.8%), $79.5 million in FY2023 (-8.4%), $86.8 million in FY2022 and $20.69 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization (CF) since Q4 2022.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for six straight quarters, with growth averaging 9.0% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q4 2025 (growth of 25.7%); the worst was Q4 2023 (a decline of 29.5%).
- Per Business Quant data, UTZ's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $22.5 million (Q1 2026), $22 million (Q4 2025) and $20.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | 350.00 Mn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 136.10 Mn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | 261.00 Mn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | 139.80 Mn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | 76.60 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 66.43 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 39.70 Mn |
| 10 | Utz Brands | 1.27 Bn | 954.86 Mn | 96.20 Mn | 22.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 22.90 Mn |
| Mar 29, 2026 | 22.50 Mn |
| Dec 28, 2025 | 22.00 Mn |
| Sep 28, 2025 | 20.40 Mn |
| Jun 29, 2025 | 21.30 Mn |
| Mar 30, 2025 | 18.70 Mn |
| Dec 29, 2024 | 17.50 Mn |
| Sep 29, 2024 | 17.50 Mn |
| Jun 30, 2024 | 17.60 Mn |
| Mar 31, 2024 | 18.30 Mn |
| Dec 31, 2023 | 19.39 Mn |
| Oct 1, 2023 | 19.71 Mn |
| Jul 2, 2023 | 20.31 Mn |
| Apr 2, 2023 | 20.09 Mn |
| Jan 1, 2023 | 27.51 Mn |
| Oct 2, 2022 | 12.00 Mn |
| Jul 3, 2022 | 12.70 Mn |
| Apr 3, 2022 | 22.12 Mn |
| Oct 3, 2021 | 11.50 Mn |
| Jul 4, 2021 | 10.20 Mn |
Utz Brands Depreciation & Amortization (CF) 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-amortization-cf&ticker=UTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();