Innovative Solutions & Support (IA) Total Liabilities (2010 - 2026)
Innovative Solutions & Support's Total Liabilities came in at $70.76 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 102.2% from $35 million a year earlier and up 7.0% from the prior quarter.
Innovative Solutions & Support (IA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Innovative Solutions & Support's Total Liabilities was $38.76 million, up 8.4% from FY2024.
- Total Liabilities has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $35.74 million in FY2024 (+47.0%), $24.32 million in FY2023 (+514.9%), $3.96 million in FY2022 (+58.2%) and $2.5 million in FY2021 (-81.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Liabilities has increased for eight consecutive quarters, with growth averaging 76.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2023 (growth of 854.4%), and the weakest in fiscal Q4 2021 (a decline of 81.8%).
- Business Quant data shows IA's Total Liabilities at $66.15 million (Q2 2026), $41.19 million (Q1 2026) and $38.76 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 70.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.76 Mn |
| Mar 31, 2026 | 66.15 Mn |
| Dec 31, 2025 | 41.19 Mn |
| Sep 30, 2025 | 38.76 Mn |
| Jun 30, 2025 | 35.00 Mn |
| Mar 31, 2025 | 36.37 Mn |
| Dec 31, 2024 | 33.48 Mn |
| Sep 30, 2024 | 35.74 Mn |
| Jun 30, 2024 | 16.60 Mn |
| Mar 31, 2024 | 16.25 Mn |
| Dec 31, 2023 | 15.80 Mn |
| Sep 30, 2023 | 24.32 Mn |
| Jun 30, 2023 | 26.57 Mn |
| Mar 31, 2023 | 3.98 Mn |
| Dec 31, 2022 | 3.86 Mn |
| Sep 30, 2022 | 3.96 Mn |
| Jun 30, 2022 | 2.78 Mn |
| Mar 31, 2022 | 2.60 Mn |
| Dec 31, 2021 | 2.30 Mn |
| Sep 30, 2021 | 2.50 Mn |
Innovative Solutions & Support 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=IA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IA", "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=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();