Innovative Food Holdings (IVFH) Total Non-Current Liabilities (2010 - 2026)
Innovative Food Holdings' Total Non-Current Liabilities came in at $3.77 million for Q2 2026, down 75.8% from $15.57 million a year earlier but up 4.3% from the prior quarter.
Innovative Food Holdings (IVFH) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Innovative Food Holdings' Total Non-Current Liabilities was $12.94 million, down 30.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $18.71 million in FY2024 (+5.6%), $17.73 million in FY2023 (+5.3%), $16.83 million in FY2022 (+2.8%) and $16.37 million in FY2021 (-14.5%).
- The five-year range for quarterly Total Non-Current Liabilities is $3.61 million (Q1 2026) to $18.71 million (Q4 2024).
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 21.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2025 (growth of 19.5%), and the weakest in Q1 2026 (a decline of 78.6%).
- Business Quant data shows IVFH's Total Non-Current Liabilities at $3.61 million (Q1 2026), $12.94 million (Q4 2025) and $14.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 999.02 Bn | 955.46 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 473.50 Bn | 396.78 Bn | 12.19 Bn | 50.28 Bn |
| 3 | Kroger | 41.27 Bn | 27.43 Bn | 7.86 Bn | 41.67 Bn |
| 4 | Sysco | 37.80 Bn | 29.72 Bn | 4.05 Bn | 15.88 Bn |
| 5 | Dollar General | 30.21 Bn | 24.89 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Dollar Tree | 26.28 Bn | 22.90 Bn | 2.10 Bn | 10.31 Bn |
| 7 | Caseys General Stores | 25.54 Bn | 23.53 Bn | 1.24 Bn | 4.92 Bn |
| 8 | US Foods Holding | 23.79 Bn | 23.59 Bn | 1.90 Bn | 9.44 Bn |
| 9 | Tractor Supply | 19.46 Bn | 18.61 Bn | 1.42 Bn | 9.42 Bn |
| 10 | Innovative Food Holdings | 10.56 Mn | 5.90 Mn | 3.42 Mn | 3.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.77 Mn |
| Mar 31, 2026 | 3.61 Mn |
| Dec 31, 2025 | 12.94 Mn |
| Sep 30, 2025 | 14.24 Mn |
| Jun 30, 2025 | 15.57 Mn |
| Mar 31, 2025 | 16.89 Mn |
| Dec 31, 2024 | 18.71 Mn |
| Sep 30, 2024 | 14.91 Mn |
| Jun 30, 2024 | 14.73 Mn |
| Mar 31, 2024 | 14.14 Mn |
| Dec 31, 2023 | 17.73 Mn |
| Sep 30, 2023 | 16.52 Mn |
| Jun 30, 2023 | 18.56 Mn |
| Dec 31, 2022 | 16.83 Mn |
| Sep 30, 2022 | 15.90 Mn |
| Jun 30, 2022 | 16.28 Mn |
| Mar 31, 2022 | 14.55 Mn |
| Dec 31, 2021 | 16.37 Mn |
| Sep 30, 2021 | 16.26 Mn |
| Jun 30, 2021 | 17.70 Mn |
Innovative Food Holdings 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=IVFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IVFH", "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=IVFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();