Vital Farms (VITL) Depreciation & Amortization (CF) (2019 - 2026)
Vital Farms' Depreciation & Amortization (CF) came in at $4.32 million for Q3 2026, up 33.4% from $3.24 million a year earlier and up 18.7% from the prior quarter.
Vital Farms (VITL) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Vital Farms reported Depreciation & Amortization (CF) of $15.8 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 Q3 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q2 2019.
- Year-over-year, Depreciation & Amortization (CF) has increased for 26 consecutive quarters, with growth averaging 30.9% 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 $3.64 million (Q2 2026), $3.96 million (Q1 2026) and $3.88 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 347.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 136.27 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 262.00 Mn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 139.80 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 76.60 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 66.43 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 39.70 Mn |
| 10 | Vital Farms | 429.78 Mn | 239.13 Mn | 42.14 Mn | 4.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 4.32 Mn |
| 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 |
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();