INNEOVA Holdings (INEO) Total Liabilities (2023 - 2026)
INNEOVA Holdings' Total Liabilities came in at $42.37 million for Q2 2026, up 2.3% from $41.42 million a year earlier but down 5.6% from the prior quarter.
INNEOVA Holdings (INEO) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, INNEOVA Holdings' Total Liabilities was $36.45 million, down 10.8% from FY2024.
- Total Liabilities carries a three-year compound annual growth rate of -0.7% (FY2022 to FY2025).
- Going back by year, Total Liabilities was $40.86 million in FY2024 (+4.5%), $39.1 million in FY2023 (+5.0%) and $37.25 million in FY2022.
- The five-year range for quarterly Total Liabilities is $36.45 million (Q4 2025) to $44.9 million (Q1 2026).
- Year-over-year, Total Liabilities increased in three of the last four quarters, with growth averaging 2.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn | 22.09 Bn |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn | 5.11 Bn |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn | 1.35 Bn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | 3.75 Bn |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn | 12.59 Bn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn | 1.15 Bn |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn | 5.97 Bn |
| 10 | INNEOVA Holdings | 7.96 Mn | 2.90 Mn | - | 42.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.37 Mn |
| Mar 31, 2026 | 44.90 Mn |
| Dec 31, 2025 | 36.45 Mn |
| Jun 30, 2025 | 41.42 Mn |
| Dec 31, 2024 | 40.86 Mn |
| Jun 30, 2024 | 36.65 Mn |
| Dec 31, 2023 | 39.10 Mn |
INNEOVA Holdings Total 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-liabilities&ticker=INEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "INEO", "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-liabilities&ticker=INEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();