Innovative Solutions & Support (IA) EPS (Diluted) (2010 - 2026)
Innovative Solutions & Support's EPS (Diluted) came in at $0.25 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 79.3% from $0.14 a year earlier and up 31.0% from the prior quarter.
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Analysis
Innovative Solutions & Support (IA) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Innovative Solutions & Support reported EPS (Diluted) of $1.05, up 59.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $0.88, up 118.9% from FY2024.
- EPS (Diluted) has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- Going back by fiscal year, EPS (Diluted) was $0.40 in FY2024 (+15.7%), $0.35 in FY2023 (+8.1%), $0.32 in FY2022 (+8.9%) and $0.29 in FY2021 (+53.9%).
- The five-year range for quarterly EPS (Diluted) is $0.04 (fiscal Q1 2023) to $0.40 (fiscal Q4 2025).
- Year-over-year, EPS (Diluted) increased in six of the last eight quarters, with growth averaging 122.3%.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q1 2026 (growth of 436.7%), and the weakest in fiscal Q3 2022 (a decline of 49.5%).
- Business Quant data shows IA's EPS (Diluted) at $0.19 (Q2 2026), $0.22 (Q1 2026) and $0.40 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 2.26 |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.57 |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 7.94 |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.33 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 4.24 |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.33 |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 7.68 |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 17.83 |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 0.25 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.25 |
| Mar 31, 2026 | 0.19 |
| Dec 31, 2025 | 0.22 |
| Sep 30, 2025 | 0.40 |
| Jun 30, 2025 | 0.14 |
| Mar 31, 2025 | 0.30 |
| Dec 31, 2024 | 0.04 |
| Sep 30, 2024 | 0.18 |
| Jun 30, 2024 | 0.09 |
| Mar 31, 2024 | 0.07 |
| Dec 31, 2023 | 0.06 |
| Sep 30, 2023 | 0.15 |
| Jun 30, 2023 | 0.08 |
| Mar 31, 2023 | 0.07 |
| Dec 31, 2022 | 0.04 |
| Sep 30, 2022 | 0.09 |
| Jun 30, 2022 | 0.08 |
| Mar 31, 2022 | 0.08 |
| Dec 31, 2021 | 0.07 |
| Sep 30, 2021 | 0.09 |
API Access
Innovative Solutions & Support EPS (Diluted) 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=eps-diluted&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();