Innovative Solutions & Support (IA) Profit After Tax (2010 - 2026)
Innovative Solutions & Support (IA) recorded Profit After Tax of $4.49 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 83.7% from $2.44 million a year earlier and up 30.7% from the prior quarter.
Innovative Solutions & Support (IA) Profit After Tax (2010 - 2026) Analysis & Trends
On a TTM basis, Innovative Solutions & Support's Profit After Tax came in at $19.09 million as of Jun 30, 2026, up 63.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $15.63 million, up 123.3% from FY2024.
- Annual Profit After Tax has increased for six straight fiscal years, with a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- Across earlier fiscal years, Profit After Tax came in at $7 million in FY2024 (+16.1%), $6.03 million in FY2023 (+9.1%), $5.52 million in FY2022 (+9.1%) and $5.06 million in FY2021 (+25.1%).
- Quarterly Profit After Tax has ranged from $698,651 in fiscal Q1 2023 to $7.11 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Profit After Tax rose in six of the last eight quarters, with growth averaging 126.6%.
- Peak year-over-year performance for Profit After Tax in the last five years was growth of 451.4% in fiscal Q1 2026, against a decline of 49.4% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.43 million (Q2 2026), $4.06 million (Q1 2026) and $7.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 2.39 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 2.25 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | -428.00 Mn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 1.84 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 534.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 1.16 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 558.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 1.09 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 5.95 Bn |
| 10 | Innovative Solutions & Support | 333.10 Mn | 304.67 Mn | 13.81 Mn | 4.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.49 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 4.06 Mn |
| Sep 30, 2025 | 7.11 Mn |
| Jun 30, 2025 | 2.44 Mn |
| Mar 31, 2025 | 5.34 Mn |
| Dec 31, 2024 | 736,192.00 |
| Sep 30, 2024 | 3.18 Mn |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 2.63 Mn |
| Jun 30, 2023 | 1.42 Mn |
| Mar 31, 2023 | 1.27 Mn |
| Dec 31, 2022 | 698,651.00 |
| Sep 30, 2022 | 1.60 Mn |
| Jun 30, 2022 | 1.36 Mn |
| Mar 31, 2022 | 1.43 Mn |
| Dec 31, 2021 | 1.13 Mn |
| Sep 30, 2021 | 1.53 Mn |
Innovative Solutions & Support Profit After Tax 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=profit-after-tax&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();