Vital Farms (VITL) Non Operating Interest Expenses (2019 - 2026)
Vital Farms' Non Operating Interest Expenses came in at $421,000 for Q2 2026, up 93.1% from $218,000 a year earlier and up 121.6% from the prior quarter.
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Analysis
Vital Farms (VITL) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Vital Farms reported Non Operating Interest Expenses of $1.03 million, up 8.6% year-over-year; for FY2025, it came in at $874,000, down 13.5% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $1.01 million in FY2024 (+29.2%), $782,000 in FY2023 (+586.0%), $114,000 in FY2022 (+119.2%) and $52,000 in FY2021 (-89.3%).
- The Q2 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q1 2019.
- Year-over-year, Non Operating Interest Expenses increased in two of the last eight quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2022 (growth of 770.0%), and the weakest in Q4 2021 (a decline of 91.9%).
- Business Quant data shows VITL's Non Operating Interest Expenses at $190,000 (Q1 2026), $208,000 (Q4 2025) and $213,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Vital Farms | 398.37 Mn | 197.88 Mn | 10.93 Mn | 421,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 421,000.00 |
| Mar 29, 2026 | 190,000.00 |
| Dec 28, 2025 | 208,000.00 |
| Sep 28, 2025 | 213,000.00 |
| Jun 29, 2025 | 218,000.00 |
| Mar 30, 2025 | 234,000.00 |
| Dec 29, 2024 | 239,000.00 |
| Sep 29, 2024 | 259,000.00 |
| Jun 30, 2024 | 257,000.00 |
| Mar 31, 2024 | 255,000.00 |
| Dec 31, 2023 | 269,000.00 |
| Sep 24, 2023 | 238,000.00 |
| Jun 25, 2023 | 136,000.00 |
| Mar 26, 2023 | 139,000.00 |
| Dec 25, 2022 | 87,000.00 |
| Sep 25, 2022 | 12,000.00 |
| Jun 26, 2022 | 7,000.00 |
| Mar 27, 2022 | 8,000.00 |
| Dec 26, 2021 | 10,000.00 |
| Sep 26, 2021 | 11,000.00 |
API Access
Vital Farms 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=VITL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "VITL", "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=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();