Innovative Solutions & Support (IA) Revenue (2010 - 2026)
Innovative Solutions & Support (IA) posted Revenue of $26.73 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.7% from $24.14 million a year earlier and up 19.5% from the prior quarter.
Innovative Solutions & Support (IA) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Innovative Solutions & Support was $93.15 million, up 20.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $84.3 million, up 78.6% from FY2024.
- Annual Revenue has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- In prior fiscal years, Innovative Solutions & Support's Revenue was $47.2 million in FY2024 (+35.6%), $34.81 million in FY2023 (+25.5%), $27.74 million in FY2022 (+20.4%) and $23.04 million in FY2021 (+6.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly Revenue in data going back to fiscal Q3 2010.
- On a year-over-year basis, Revenue has increased in each of the last 14 quarters, with growth averaging 49.2% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q3 2025, with growth of 105.2%; the weakest was fiscal Q1 2023, with a decline of 2.7%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $22.37 million (Q2 2026), $21.81 million (Q1 2026) and $22.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 26.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.73 Mn |
| Mar 31, 2026 | 22.37 Mn |
| Dec 31, 2025 | 21.81 Mn |
| Sep 30, 2025 | 22.25 Mn |
| Jun 30, 2025 | 24.14 Mn |
| Mar 31, 2025 | 21.94 Mn |
| Dec 31, 2024 | 15.97 Mn |
| Sep 30, 2024 | 15.38 Mn |
| Jun 30, 2024 | 11.77 Mn |
| Mar 31, 2024 | 10.74 Mn |
| Dec 31, 2023 | 9.31 Mn |
| Sep 30, 2023 | 12.99 Mn |
| Jun 30, 2023 | 7.96 Mn |
| Mar 31, 2023 | 7.34 Mn |
| Dec 31, 2022 | 6.52 Mn |
| Sep 30, 2022 | 7.26 Mn |
| Jun 30, 2022 | 6.94 Mn |
| Mar 31, 2022 | 6.85 Mn |
| Dec 31, 2021 | 6.70 Mn |
| Sep 30, 2021 | 6.87 Mn |
Innovative Solutions & Support Revenue 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=revenue&ticker=IA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();