Vital Farms (VITL) Depreciation & Amortization (CF) (2019 - 2026)
Vital Farms' Depreciation & Amortization (CF) came in at $3.64 million for Q2 2026, up 4.9% from $3.47 million a year earlier but down 8.1% from the prior quarter.
Vital Farms (VITL) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Vital Farms reported Depreciation & Amortization (CF) of $14.71 million, up 19.4% year-over-year; for FY2025, it was $13.84 million, up 5.7% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last seven years, with a five-year compound annual growth rate of 40.3% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $13.09 million in FY2024 (+65.2%), $7.93 million in FY2023 (+45.7%), $5.44 million in FY2022 (+53.7%) and $3.54 million in FY2021 (+38.8%).
- The five-year range for quarterly Depreciation & Amortization (CF) is $907,000 (Q3 2021) to $3.96 million (Q1 2026).
- Year-over-year, Depreciation & Amortization (CF) has increased for 25 consecutive quarters, with growth averaging 28.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation & Amortization (CF) ran from 3.3% in Q4 2021 to 78.6% in Q1 2023.
- Business Quant data shows VITL's Depreciation & Amortization (CF) at $3.96 million (Q1 2026), $3.88 million (Q4 2025) and $3.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 350.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 136.10 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 261.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 139.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 73.50 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 66.43 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 39.70 Mn |
| 10 | Vital Farms | 398.37 Mn | 197.88 Mn | 10.93 Mn | 3.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.64 Mn |
| Mar 29, 2026 | 3.96 Mn |
| Dec 28, 2025 | 3.88 Mn |
| Sep 28, 2025 | 3.24 Mn |
| Jun 29, 2025 | 3.47 Mn |
| Mar 30, 2025 | 3.26 Mn |
| Dec 29, 2024 | 3.26 Mn |
| Sep 29, 2024 | 2.33 Mn |
| Jun 30, 2024 | 2.35 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 2.33 Mn |
| Sep 24, 2023 | 2.05 Mn |
| Jun 25, 2023 | 1.85 Mn |
| Mar 26, 2023 | 1.69 Mn |
| Dec 25, 2022 | 1.65 Mn |
| Sep 25, 2022 | 1.51 Mn |
| Jun 26, 2022 | 1.34 Mn |
| Mar 27, 2022 | 948,000.00 |
| Dec 26, 2021 | 1.01 Mn |
| Sep 26, 2021 | 907,000.00 |
Vital Farms Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();