Innovative Solutions & Support (IA) Operating Expenses (2010 - 2026)
Innovative Solutions & Support's Operating Expenses came in at $7.78 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 53.5% from $5.07 million a year earlier and up 19.8% from the prior quarter.
Innovative Solutions & Support (IA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Innovative Solutions & Support reported Operating Expenses of $25.68 million, up 36.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $20.44 million, up 25.8% from FY2024.
- Operating Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $16.25 million in FY2024 (+16.5%), $13.95 million in FY2023 (+47.5%), $9.46 million in FY2022 (+6.5%) and $8.88 million in FY2021 (-1.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q3 2010.
- Year-over-year, Operating Expenses has increased for seven consecutive quarters, with growth averaging 25.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2023 (growth of 105.5%), and the weakest in fiscal Q4 2021 (a decline of 8.6%).
- Business Quant data shows IA's Operating Expenses at $6.49 million (Q2 2026), $5.59 million (Q1 2026) and $5.82 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 7.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.78 Mn |
| Mar 31, 2026 | 6.49 Mn |
| Dec 31, 2025 | 5.59 Mn |
| Sep 30, 2025 | 5.82 Mn |
| Jun 30, 2025 | 5.07 Mn |
| Mar 31, 2025 | 4.28 Mn |
| Dec 31, 2024 | 5.27 Mn |
| Sep 30, 2024 | 4.16 Mn |
| Jun 30, 2024 | 4.24 Mn |
| Mar 31, 2024 | 3.94 Mn |
| Dec 31, 2023 | 3.91 Mn |
| Sep 30, 2023 | 4.46 Mn |
| Jun 30, 2023 | 3.25 Mn |
| Mar 31, 2023 | 3.31 Mn |
| Dec 31, 2022 | 2.93 Mn |
| Sep 30, 2022 | 2.17 Mn |
| Jun 30, 2022 | 2.37 Mn |
| Mar 31, 2022 | 2.37 Mn |
| Dec 31, 2021 | 2.54 Mn |
| Sep 30, 2021 | 2.10 Mn |
Innovative Solutions & Support Operating Expenses 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=operating-expenses&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();