Innovative Solutions & Support (IA) EBITDA (2010 - 2026)
Innovative Solutions & Support (IA) recorded EBITDA of $7.38 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 70.3% from $4.33 million a year earlier and up 27.2% from the prior quarter.
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Analysis
Innovative Solutions & Support (IA) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Innovative Solutions & Support's EBITDA came in at $29.64 million as of Jun 30, 2026, up 50.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $23.81 million, up 102.4% from FY2024.
- Annual EBITDA has increased for six straight fiscal years, with a five-year compound annual growth rate of 49.6% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $11.76 million in FY2024 (+46.0%), $8.06 million in FY2023 (+6.2%), $7.58 million in FY2022 (+75.0%) and $4.33 million in FY2021 (+36.4%).
- Quarterly EBITDA has ranged from $876,905 in fiscal Q1 2023 to $9.14 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in seven of the last eight quarters, with growth averaging 86.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 338.3% in fiscal Q1 2022, against a decline of 42.2% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.8 million (Q2 2026), $7.32 million (Q1 2026) and $9.14 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 7.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.38 Mn |
| Mar 31, 2026 | 5.80 Mn |
| Dec 31, 2025 | 7.32 Mn |
| Sep 30, 2025 | 9.14 Mn |
| Jun 30, 2025 | 4.33 Mn |
| Mar 31, 2025 | 7.62 Mn |
| Dec 31, 2024 | 2.71 Mn |
| Sep 30, 2024 | 5.03 Mn |
| Jun 30, 2024 | 2.65 Mn |
| Mar 31, 2024 | 2.06 Mn |
| Dec 31, 2023 | 2.03 Mn |
| Sep 30, 2023 | 4.09 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 876,905.00 |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 1.78 Mn |
| Mar 31, 2022 | 1.90 Mn |
| Dec 31, 2021 | 1.52 Mn |
| Sep 30, 2021 | 1.96 Mn |
API Access
Innovative Solutions & Support EBITDA 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=ebitda&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();