Vital Farms (VITL) Total Non-Current Liabilities (2019 - 2026)
Vital Farms' Total Non-Current Liabilities came in at $217.88 million for Q2 2026, up 83.6% from $118.67 million a year earlier and up 36.9% from the prior quarter.
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Analysis
Vital Farms (VITL) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Vital Farms' Total Non-Current Liabilities was $164.73 million, up 84.1% from FY2024.
- Total Non-Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 41.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $89.46 million in FY2024 (+9.8%), $81.47 million in FY2023 (+46.6%), $55.57 million in FY2022 (+45.6%) and $38.17 million in FY2021 (+31.7%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year-over-year, Total Non-Current Liabilities has increased for 19 consecutive quarters, with growth averaging 51.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2025 (growth of 84.1%), and the weakest in Q3 2021 (a decline of 5.6%).
- Business Quant data shows VITL's Total Non-Current Liabilities at $159.17 million (Q1 2026), $164.73 million (Q4 2025) and $146.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Vital Farms | 403.09 Mn | 202.60 Mn | 10.93 Mn | 217.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 217.88 Mn |
| Mar 29, 2026 | 159.17 Mn |
| Dec 28, 2025 | 164.73 Mn |
| Sep 28, 2025 | 146.70 Mn |
| Jun 29, 2025 | 118.67 Mn |
| Mar 30, 2025 | 87.17 Mn |
| Dec 29, 2024 | 89.46 Mn |
| Sep 29, 2024 | 90.44 Mn |
| Jun 30, 2024 | 80.97 Mn |
| Mar 31, 2024 | 85.79 Mn |
| Dec 31, 2023 | 81.47 Mn |
| Sep 24, 2023 | 65.04 Mn |
| Jun 25, 2023 | 58.55 Mn |
| Mar 26, 2023 | 57.91 Mn |
| Dec 25, 2022 | 55.57 Mn |
| Sep 25, 2022 | 51.82 Mn |
| Jun 26, 2022 | 47.58 Mn |
| Mar 27, 2022 | 40.24 Mn |
| Dec 26, 2021 | 38.17 Mn |
| Sep 26, 2021 | 33.34 Mn |
API Access
Vital Farms Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VITL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();