Vital Farms (VITL) Change in Accured Expenses (2019 - 2022)
Vital Farms' Change in Accured Expenses was $14.33 million in FY2025, up 112.3% from $6.75 million in FY2024.
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Analysis
Vital Farms (VITL) Change in Accured Expenses (2019 - 2022) Analysis & Trends
From FY2018 onward, Vital Farms has reported Change in Accured Expenses for 8 years.
- Change in Accured Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 65.0% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Change in Accured Expenses in data going back to FY2018.
- Per Business Quant data, Change in Accured Expenses in earlier years was $6.75 million in FY2024 (+30.9%), $5.16 million in FY2023 (+34.2%), $3.84 million in FY2022 (-4.6%) and $4.03 million in FY2021 (+243.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 113.25 Mn |
| 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 | -26.00 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | -15.90 Mn |
| 10 | Vital Farms | 388.93 Mn | 188.44 Mn | 10.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 25, 2022 | -4.17 Mn |
| Sep 25, 2022 | 5.15 Mn |
| Jun 26, 2022 | 2.63 Mn |
| Mar 27, 2022 | 240,000.00 |
| Dec 26, 2021 | -597,000.00 |
| Sep 26, 2021 | 4.01 Mn |
| Jun 27, 2021 | 1.73 Mn |
| Mar 28, 2021 | -1.11 Mn |
| Dec 27, 2020 | 1.68 Mn |
| Sep 27, 2020 | 937,000.00 |
| Jun 28, 2020 | 1.13 Mn |
| Mar 29, 2020 | -2.58 Mn |
| Dec 29, 2019 | 1.04 Mn |
| Sep 29, 2019 | 2.49 Mn |
API Access
Vital Farms Change in Accured Expenses 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=change-in-accured-expenses&ticker=VITL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();