Innovative Solutions & Support (IA) EBIT (2010 - 2026)
Innovative Solutions & Support (IA) posted EBIT of $6.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 71.5% from $3.51 million a year earlier and up 22.0% from the prior quarter.
Innovative Solutions & Support (IA) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Innovative Solutions & Support was $25.49 million, up 57.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $20.07 million, up 107.8% from FY2024.
- Annual EBIT has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 48.9% (FY2020 to FY2025).
- In prior fiscal years, Innovative Solutions & Support's EBIT was $9.66 million in FY2024 (+31.3%), $7.36 million in FY2023 (+2.0%), $7.22 million in FY2022 (+85.0%) and $3.9 million in FY2021 (+42.1%).
- Quarterly EBIT has run from a low of $791,496 in fiscal Q1 2023 to a high of $8.23 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBIT increased in six of the last eight quarters, with growth averaging 112.4%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q1 2022, with growth of 512.9%; the weakest was fiscal Q1 2023, with a decline of 44.4%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $4.94 million (Q2 2026), $6.29 million (Q1 2026) and $8.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -6.18 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 2.81 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.46 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.10 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 6.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.03 Mn |
| Mar 31, 2026 | 4.94 Mn |
| Dec 31, 2025 | 6.29 Mn |
| Sep 30, 2025 | 8.23 Mn |
| Jun 30, 2025 | 3.51 Mn |
| Mar 31, 2025 | 6.98 Mn |
| Dec 31, 2024 | 1.34 Mn |
| Sep 30, 2024 | 4.37 Mn |
| Jun 30, 2024 | 2.04 Mn |
| Mar 31, 2024 | 1.64 Mn |
| Dec 31, 2023 | 1.62 Mn |
| Sep 30, 2023 | 3.65 Mn |
| Jun 30, 2023 | 1.49 Mn |
| Mar 31, 2023 | 1.43 Mn |
| Dec 31, 2022 | 791,496.00 |
| Sep 30, 2022 | 2.30 Mn |
| Jun 30, 2022 | 1.69 Mn |
| Mar 31, 2022 | 1.81 Mn |
| Dec 31, 2021 | 1.42 Mn |
| Sep 30, 2021 | 1.86 Mn |
Innovative Solutions & Support EBIT 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=ebit&ticker=IA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();