Innovative Solutions & Support (IA) Accumulated Expenses (2010 - 2026)
Innovative Solutions & Support's Accumulated Expenses came in at $4.86 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 33.6% from $3.64 million a year earlier and up 17.8% from the prior quarter.
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Analysis
Innovative Solutions & Support (IA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Innovative Solutions & Support's Accumulated Expenses was $8.16 million, up 77.1% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 43.1% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $4.61 million in FY2024 (+57.9%), $2.92 million in FY2023 (-1.8%), $2.97 million in FY2022 (+107.7%) and $1.43 million in FY2021 (+5.1%).
- The five-year range for quarterly Accumulated Expenses is $1.43 million (fiscal Q4 2021) to $8.16 million (fiscal Q4 2025).
- Year-over-year, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 43.6% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2023 (growth of 213.4%), and the weakest in fiscal Q3 2024 (a decline of 46.6%).
- Business Quant data shows IA's Accumulated Expenses at $4.13 million (Q2 2026), $6.24 million (Q1 2026) and $8.16 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Innovative Solutions & Support | 332.39 Mn | 303.95 Mn | 13.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.86 Mn |
| Mar 31, 2026 | 4.13 Mn |
| Dec 31, 2025 | 6.24 Mn |
| Sep 30, 2025 | 8.16 Mn |
| Jun 30, 2025 | 3.64 Mn |
| Mar 31, 2025 | 3.07 Mn |
| Dec 31, 2024 | 4.28 Mn |
| Sep 30, 2024 | 4.61 Mn |
| Jun 30, 2024 | 2.82 Mn |
| Mar 31, 2024 | 2.42 Mn |
| Dec 31, 2023 | 2.98 Mn |
| Sep 30, 2023 | 2.92 Mn |
| Jun 30, 2023 | 5.28 Mn |
| Mar 31, 2023 | 1.86 Mn |
| Dec 31, 2022 | 2.51 Mn |
| Sep 30, 2022 | 2.97 Mn |
| Jun 30, 2022 | 1.68 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | 1.44 Mn |
| Sep 30, 2021 | 1.43 Mn |
API Access
Innovative Solutions & Support Accumulated 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=accumulated-expenses&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();