Utz Brands (UTZ) Non Operating Interest Expenses (2019 - 2026)
Utz Brands' Non Operating Interest Expenses came in at $10.7 million for Q2 2026, down 6.1% from $11.4 million a year earlier but up 2.9% from the prior quarter.
Utz Brands (UTZ) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Utz Brands reported Non Operating Interest Expenses of $41.3 million, down 5.7% year-over-year; for FY2025, it was $43.1 million, down 4.0% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 88.4% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $44.9 million in FY2024 (-25.9%), $60.6 million in FY2023 (+36.4%), $44.42 million in FY2022 and $13.3 million in FY2021.
- The five-year range for quarterly Non Operating Interest Expenses is $8.3 million (Q4 2024) to $18.76 million (Q3 2021).
- Year-over-year, Non Operating Interest Expenses increased in two of the last eight quarters, with an average decline of 10.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2025 (growth of 15.7%), and the weakest in Q4 2024 (a decline of 47.0%).
- Business Quant data shows UTZ's Non Operating Interest Expenses at $10.4 million (Q1 2026), $9.6 million (Q4 2025) and $10.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Utz Brands | 2.05 Bn | 2.36 Bn | 96.20 Mn | 10.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 10.70 Mn |
| Mar 29, 2026 | 10.40 Mn |
| Dec 28, 2025 | 9.60 Mn |
| Sep 28, 2025 | 10.60 Mn |
| Jun 29, 2025 | 11.40 Mn |
| Mar 30, 2025 | 11.50 Mn |
| Dec 29, 2024 | 8.30 Mn |
| Sep 29, 2024 | 12.60 Mn |
| Jun 30, 2024 | 10.20 Mn |
| Mar 31, 2024 | 13.83 Mn |
| Dec 31, 2023 | 15.67 Mn |
| Oct 1, 2023 | 15.54 Mn |
| Jul 2, 2023 | 15.02 Mn |
| Apr 2, 2023 | 14.38 Mn |
| Jan 1, 2023 | 17.94 Mn |
| Oct 2, 2022 | 11.65 Mn |
| Jul 3, 2022 | 10.73 Mn |
| Apr 3, 2022 | 9.10 Mn |
| Oct 3, 2021 | 7.73 Mn |
| Jul 4, 2021 | 7.90 Mn |
Utz Brands Non Operating Interest 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=non-operating-interest-expenses&ticker=UTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();