Vital Farms (VITL) Cost of Revenue (2019 - 2026)
Vital Farms' Cost of Revenue was $155.1 million in Q2 2026, up 37.3% from $112.99 million a year earlier and up 15.6% from the prior quarter.
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Analysis
Vital Farms (VITL) Cost of Revenue (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vital Farms' Cost of Revenue was $550.35 million through Jun 28, 2026, up 34.1% year-over-year; for FY2025, it came in at $473.76 million, up 25.9% from FY2024.
- Cost of Revenue has now increased for seven consecutive years, with a five-year compound annual growth rate of 27.7% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $376.38 million in FY2024 (+21.6%), $309.53 million in FY2023 (+22.5%), $252.61 million in FY2022 (+41.9%) and $178 million in FY2021 (+27.4%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q1 2019.
- Compared with a year earlier, Cost of Revenue has increased for 26 straight quarters, with growth averaging 27.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 12.0% (Q1 2025) to 58.4% (Q4 2021).
- Per Business Quant data, VITL's Cost of Revenue in the three quarters before Q2 2026 was $134.15 million (Q1 2026), $137.13 million (Q4 2025) and $123.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Vital Farms | 388.93 Mn | 188.44 Mn | 10.93 Mn | 155.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 155.10 Mn |
| Mar 29, 2026 | 134.15 Mn |
| Dec 28, 2025 | 137.13 Mn |
| Sep 28, 2025 | 123.97 Mn |
| Jun 29, 2025 | 112.99 Mn |
| Mar 30, 2025 | 99.68 Mn |
| Dec 29, 2024 | 106.11 Mn |
| Sep 29, 2024 | 91.53 Mn |
| Jun 30, 2024 | 89.71 Mn |
| Mar 31, 2024 | 89.03 Mn |
| Dec 31, 2023 | 90.62 Mn |
| Sep 24, 2023 | 73.76 Mn |
| Jun 25, 2023 | 68.65 Mn |
| Mar 26, 2023 | 76.50 Mn |
| Dec 25, 2022 | 76.77 Mn |
| Sep 25, 2022 | 62.55 Mn |
| Jun 26, 2022 | 57.93 Mn |
| Mar 27, 2022 | 55.36 Mn |
| Dec 26, 2021 | 57.61 Mn |
| Sep 26, 2021 | 44.79 Mn |
API Access
Vital Farms Cost of Revenue 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=cost-of-revenue&ticker=VITL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();