Inseego (INSG) Total Liabilities (2010 - 2026)
Inseego (INSG) posted Total Liabilities of $120.95 million for Q2 2026, up 29.3% from $93.57 million a year earlier and up 10.4% from the prior quarter.
Inseego (INSG) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Inseego's Total Liabilities came in at $97.85 million, down 13.3% from FY2024.
- Annual Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -17.5% (FY2020 to FY2025).
- In prior years, Inseego's Total Liabilities was $112.86 million in FY2024 (-49.6%), $223.9 million in FY2023 (-2.7%), $230.07 million in FY2022 (-4.4%) and $240.7 million in FY2021 (-5.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 26.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 29.3%; the weakest was Q2 2025, with a decline of 62.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $109.57 million (Q1 2026), $97.85 million (Q4 2025) and $93.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Inseego | 59.21 Mn | -1.41 Mn | 14.85 Mn | 120.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.95 Mn |
| Mar 31, 2026 | 109.57 Mn |
| Dec 31, 2025 | 97.85 Mn |
| Sep 30, 2025 | 93.53 Mn |
| Jun 30, 2025 | 93.57 Mn |
| Mar 31, 2025 | 105.99 Mn |
| Dec 31, 2024 | 112.86 Mn |
| Sep 30, 2024 | 198.45 Mn |
| Jun 30, 2024 | 251.33 Mn |
| Mar 31, 2024 | 227.66 Mn |
| Dec 31, 2023 | 223.90 Mn |
| Sep 30, 2023 | 227.54 Mn |
| Jun 30, 2023 | 224.50 Mn |
| Mar 31, 2023 | 230.45 Mn |
| Dec 31, 2022 | 230.07 Mn |
| Sep 30, 2022 | 240.20 Mn |
| Jun 30, 2022 | 234.97 Mn |
| Mar 31, 2022 | 238.37 Mn |
| Dec 31, 2021 | 240.70 Mn |
| Sep 30, 2021 | 235.86 Mn |
Inseego 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=INSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "INSG", "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=INSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();