Vital Farms (VITL) Accumulated Expenses (2019 - 2026)
Vital Farms (VITL) posted Accumulated Expenses of $53.22 million for Q2 2026, up 56.4% from $34.04 million a year earlier and up 8.3% from the prior quarter.
Powered by 
Analysis
Vital Farms (VITL) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Vital Farms' Accumulated Expenses came in at $54.83 million, up 75.0% from FY2024.
- Annual Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 41.0% (FY2020 to FY2025).
- In prior years, Vital Farms' Accumulated Expenses was $31.33 million in FY2024 (+29.4%), $24.22 million in FY2023 (+31.1%), $18.48 million in FY2022 (+22.0%) and $15.14 million in FY2021 (+53.8%).
- Quarterly Accumulated Expenses has run from a low of $14.47 million in Q3 2021 to a high of $54.97 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 21 quarters, with growth averaging 49.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 3.0% (Q2 2024) to 112.1% (Q1 2026).
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $49.14 million (Q1 2026), $54.83 million (Q4 2025) and $54.97 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 53.22 Mn |
| Mar 29, 2026 | 49.14 Mn |
| Dec 28, 2025 | 54.83 Mn |
| Sep 28, 2025 | 54.97 Mn |
| Jun 29, 2025 | 34.04 Mn |
| Mar 30, 2025 | 23.17 Mn |
| Dec 29, 2024 | 31.33 Mn |
| Sep 29, 2024 | 33.35 Mn |
| Jun 30, 2024 | 25.93 Mn |
| Mar 31, 2024 | 22.28 Mn |
| Dec 31, 2023 | 24.22 Mn |
| Sep 24, 2023 | 26.73 Mn |
| Jun 25, 2023 | 25.17 Mn |
| Mar 26, 2023 | 18.85 Mn |
| Dec 25, 2022 | 18.48 Mn |
| Sep 25, 2022 | 23.69 Mn |
| Jun 26, 2022 | 19.15 Mn |
| Mar 27, 2022 | 16.14 Mn |
| Dec 26, 2021 | 15.14 Mn |
| Sep 26, 2021 | 14.47 Mn |
API Access
Vital Farms Accumulated 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=accumulated-expenses&ticker=VITL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();