Vital Farms (VITL) Asset Writedowns and Impairment (2019 - 2026)
Vital Farms (VITL) posted Asset Writedowns and Impairment of $7.57 million for Q2 2026, compared with $583,000 a year earlier and up 967.0% from the prior quarter.
Vital Farms (VITL) Asset Writedowns and Impairment (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Asset Writedowns and Impairment at Vital Farms was $8.84 million; for FY2025, it was $4.7 million.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of 211.6% (FY2020 to FY2025).
- In prior years, Vital Farms' Asset Writedowns and Impairment was $299,000 in FY2024 (-24.7%), $397,000 in FY2023, -$330,000 in FY2022 and $224,000 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Asset Writedowns and Impairment in data going back to Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Vital Farms | 388.93 Mn | 188.44 Mn | 10.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.57 Mn |
| Mar 29, 2026 | 709,000.00 |
| Jun 29, 2025 | 583,000.00 |
| Mar 30, 2025 | -15,000.00 |
| Mar 26, 2023 | 120,000.00 |
| Dec 25, 2022 | 58,000.00 |
| Mar 27, 2022 | -29,000.00 |
| Dec 26, 2021 | 38,000.00 |
| Dec 27, 2020 | -139,000.00 |
| Sep 27, 2020 | -10,000.00 |
| Dec 29, 2019 | 326,000.00 |
| Sep 29, 2019 | -70,000.00 |
Vital Farms Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();