Vital Farms (VITL) Capital Expenditures (2019 - 2026)
Vital Farms (VITL) posted Capital Expenditures of $16.7 million for Q2 2026, up 143.3% from $6.87 million a year earlier but down 19.5% from the prior quarter.
Vital Farms (VITL) Capital Expenditures (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Capital Expenditures at Vital Farms was $109.42 million, up 244.9% year-over-year; for FY2025, it came in at $81.95 million, up 186.1% from FY2024.
- Annual Capital Expenditures has increased for three consecutive years, with a five-year compound annual growth rate of 51.4% (FY2020 to FY2025).
- In prior years, Vital Farms' Capital Expenditures was $28.65 million in FY2024 (+148.3%), $11.54 million in FY2023 (+10.2%), $10.47 million in FY2022 (-37.4%) and $16.71 million in FY2021 (+62.2%).
- Quarterly Capital Expenditures has run from a low of $1.32 million in Q1 2024 to a high of $37.93 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last seven quarters, with growth averaging 307.4% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2025, with growth of 853.8%; the weakest was Q3 2022, with a decline of 61.1%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $20.76 million (Q1 2026), $37.93 million (Q4 2025) and $34.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 342.00 Mn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 89.83 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 189.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 90.50 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 42.70 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 88.40 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 68.16 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 47.90 Mn |
| 10 | Vital Farms | 403.09 Mn | 202.60 Mn | 10.93 Mn | 16.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 16.70 Mn |
| Mar 29, 2026 | 20.76 Mn |
| Dec 28, 2025 | 37.93 Mn |
| Sep 28, 2025 | 34.03 Mn |
| Jun 29, 2025 | 6.87 Mn |
| Mar 30, 2025 | 3.13 Mn |
| Dec 29, 2024 | 18.16 Mn |
| Sep 29, 2024 | 3.57 Mn |
| Jun 30, 2024 | 5.59 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 2.40 Mn |
| Sep 24, 2023 | 4.85 Mn |
| Jun 25, 2023 | 2.49 Mn |
| Mar 26, 2023 | 1.80 Mn |
| Dec 25, 2022 | 3.57 Mn |
| Sep 25, 2022 | 2.48 Mn |
| Jun 26, 2022 | 2.73 Mn |
| Mar 27, 2022 | 1.69 Mn |
| Dec 26, 2021 | 2.52 Mn |
| Sep 26, 2021 | 6.38 Mn |
Vital Farms Capital Expenditures 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=capital-expenditures&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();