Vital Farms (VITL) Long-Term Debt Repayments (2019 - 2026)
Vital Farms' Long-Term Debt Repayments came in at $1.54 million for Q2 2026, up 49.2% from $1.03 million a year earlier and up 11.3% from the prior quarter.
Vital Farms (VITL) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Vital Farms reported Long-Term Debt Repayments of $5.37 million, up 38.3% year-over-year; for FY2025, it was $4.48 million, up 27.3% from FY2024.
- Long-Term Debt Repayments has increased in each of the last four years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $3.52 million in FY2024 (+56.8%), $2.25 million in FY2023 (+305.4%), $554,000 in FY2022 (+17.6%) and $471,000 in FY2021 (-81.8%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments in data going back to Q4 2019.
- Year-over-year, Long-Term Debt Repayments has increased for 15 consecutive quarters, with growth averaging 30.8% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2023 (growth of 754.8%), and the weakest in Q3 2022 (a decline of 28.8%).
- Business Quant data shows VITL's Long-Term Debt Repayments at $1.38 million (Q1 2026), $1.28 million (Q4 2025) and $1.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 95.89 Bn | - | - |
| 2 | Mondelez International | 82.38 Bn | 75.64 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 35.07 Bn | 31.31 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 28.91 Bn | 15.33 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.35 Bn | 16.00 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.98 Bn | 13.76 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.88 Bn | 11.94 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.60 Bn | 8.27 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 8.89 Bn | 6.18 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Vital Farms | 384.49 Mn | 184.00 Mn | 10.93 Mn | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.54 Mn |
| Mar 29, 2026 | 1.38 Mn |
| Dec 28, 2025 | 1.28 Mn |
| Sep 28, 2025 | 1.17 Mn |
| Jun 29, 2025 | 1.03 Mn |
| Mar 30, 2025 | 1.00 Mn |
| Dec 29, 2024 | 932,000.00 |
| Sep 29, 2024 | 917,000.00 |
| Jun 30, 2024 | 853,000.00 |
| Mar 31, 2024 | 819,000.00 |
| Dec 31, 2023 | 755,000.00 |
| Sep 24, 2023 | 718,000.00 |
| Jun 25, 2023 | 389,000.00 |
| Mar 26, 2023 | 384,000.00 |
| Dec 25, 2022 | 218,000.00 |
| Sep 25, 2022 | 84,000.00 |
| Jun 26, 2022 | 121,000.00 |
| Mar 27, 2022 | 126,000.00 |
| Dec 26, 2021 | 120,000.00 |
| Sep 26, 2021 | 118,000.00 |
Vital Farms Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();