Vital Farms (VITL) Other Operating Expenses (2019 - 2026)
Vital Farms (VITL) posted Other Operating Expenses of $10.7 million for Q2 2026, up 18.9% from $9 million a year earlier but down 2.5% from the prior quarter.
Vital Farms (VITL) Other Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Other Operating Expenses at Vital Farms was $41.73 million, up 17.6% year-over-year; for FY2025, it was $37.88 million, up 16.8% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In prior years, Vital Farms' Other Operating Expenses was $32.44 million in FY2024 (+18.6%), $27.34 million in FY2023 (-9.2%), $30.1 million in FY2022 (+20.5%) and $24.98 million in FY2021 (+60.5%).
- Quarterly Other Operating Expenses has run from a low of $5.85 million in Q2 2023 to a high of $10.98 million in Q1 2026 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last nine quarters, with growth averaging 21.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 61.2%; the weakest was Q3 2021, with a decline of 48.1%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $10.98 million (Q1 2026), $10.88 million (Q4 2025) and $9.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Vital Farms | 398.37 Mn | 197.88 Mn | 10.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 10.70 Mn |
| Mar 29, 2026 | 10.98 Mn |
| Dec 28, 2025 | 10.88 Mn |
| Sep 28, 2025 | 9.17 Mn |
| Jun 29, 2025 | 9.00 Mn |
| Mar 30, 2025 | 8.84 Mn |
| Dec 29, 2024 | 9.50 Mn |
| Sep 29, 2024 | 8.13 Mn |
| Jun 30, 2024 | 7.20 Mn |
| Mar 31, 2024 | 7.60 Mn |
| Dec 31, 2023 | 7.31 Mn |
| Sep 24, 2023 | 6.36 Mn |
| Jun 25, 2023 | 5.85 Mn |
| Mar 26, 2023 | 7.83 Mn |
| Dec 25, 2022 | 7.83 Mn |
| Sep 25, 2022 | 6.91 Mn |
| Jun 26, 2022 | 7.21 Mn |
| Mar 27, 2022 | 8.16 Mn |
| Dec 26, 2021 | 8.22 Mn |
| Sep 26, 2021 | 6.32 Mn |
Vital Farms Other Operating 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=other-operating-expenses&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();