Vital Farms (VITL) Selling, General & Administrative (2019 - 2026)
Vital Farms' Selling, General & Administrative came in at $40.38 million for Q2 2026, up 3.6% from $38.99 million a year earlier but down 9.0% from the prior quarter.
Vital Farms (VITL) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Vital Farms reported Selling, General & Administrative of $173.27 million, up 20.0% year-over-year; for FY2025, it came in at $159.43 million, up 19.0% from FY2024.
- Selling, General & Administrative has increased in each of the last seven years, with a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $133.94 million in FY2024 (+31.7%), $101.73 million in FY2023 (+31.7%), $77.24 million in FY2022 (+33.5%) and $57.87 million in FY2021 (+22.1%).
- The five-year range for quarterly Selling, General & Administrative is $15.33 million (Q3 2021) to $44.39 million (Q3 2025).
- Year-over-year, Selling, General & Administrative has increased for 25 consecutive quarters, with growth averaging 24.0% over the last eight quarters.
- The year-over-year growth in Selling, General & Administrative has ranged between 1.6% (Q4 2021) and 43.9% (Q3 2024) over the last five years.
- Business Quant data shows VITL's Selling, General & Administrative at $44.36 million (Q1 2026), $44.14 million (Q4 2025) and $44.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Vital Farms | 388.93 Mn | 188.44 Mn | 10.93 Mn | 40.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 40.38 Mn |
| Mar 29, 2026 | 44.36 Mn |
| Dec 28, 2025 | 44.14 Mn |
| Sep 28, 2025 | 44.39 Mn |
| Jun 29, 2025 | 38.99 Mn |
| Mar 30, 2025 | 31.91 Mn |
| Dec 29, 2024 | 37.37 Mn |
| Sep 29, 2024 | 36.10 Mn |
| Jun 30, 2024 | 33.34 Mn |
| Mar 31, 2024 | 27.13 Mn |
| Dec 31, 2023 | 28.79 Mn |
| Sep 24, 2023 | 25.08 Mn |
| Jun 25, 2023 | 23.91 Mn |
| Mar 26, 2023 | 23.95 Mn |
| Dec 25, 2022 | 22.04 Mn |
| Sep 25, 2022 | 20.56 Mn |
| Jun 26, 2022 | 17.01 Mn |
| Mar 27, 2022 | 17.62 Mn |
| Dec 26, 2021 | 15.82 Mn |
| Sep 26, 2021 | 15.33 Mn |
Vital Farms Selling, General & Administrative 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=selling-general-and-administrative&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();