Vital Farms (VITL) Property, Plant & Equipment (Net) (2019 - 2026)
Vital Farms' Property, Plant & Equipment (Net) came in at $192.22 million for Q2 2026, up 72.9% from $111.16 million a year earlier and up 8.0% from the prior quarter.
Vital Farms (VITL) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Vital Farms' Property, Plant & Equipment (Net) was $160.6 million, up 90.0% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last six years, with a five-year compound annual growth rate of 39.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $84.52 million in FY2024 (+26.5%), $66.84 million in FY2023 (+13.0%), $59.16 million in FY2022 (+32.6%) and $44.61 million in FY2021 (+48.1%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 21 consecutive quarters, with growth averaging 58.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 2.1% (Q3 2024) to 118.4% (Q1 2026).
- Business Quant data shows VITL's Property, Plant & Equipment (Net) at $177.91 million (Q1 2026), $160.6 million (Q4 2025) and $121.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 10.88 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Vital Farms | 388.93 Mn | 188.44 Mn | 10.93 Mn | 192.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 192.22 Mn |
| Mar 29, 2026 | 177.91 Mn |
| Dec 28, 2025 | 160.60 Mn |
| Sep 28, 2025 | 121.08 Mn |
| Jun 29, 2025 | 111.16 Mn |
| Mar 30, 2025 | 81.45 Mn |
| Dec 29, 2024 | 84.52 Mn |
| Sep 29, 2024 | 69.27 Mn |
| Jun 30, 2024 | 68.33 Mn |
| Mar 31, 2024 | 66.23 Mn |
| Dec 31, 2023 | 66.84 Mn |
| Sep 24, 2023 | 67.86 Mn |
| Jun 25, 2023 | 59.34 Mn |
| Mar 26, 2023 | 58.77 Mn |
| Dec 25, 2022 | 59.16 Mn |
| Sep 25, 2022 | 48.23 Mn |
| Jun 26, 2022 | 47.89 Mn |
| Mar 27, 2022 | 47.29 Mn |
| Dec 26, 2021 | 44.61 Mn |
| Sep 26, 2021 | 42.17 Mn |
Vital Farms Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();