Innovative Solutions & Support (IA) Price to Earnings (2011 - 2026)
Innovative Solutions & Support's (IA) Price to Earnings stood at 16.87 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 19.3% from 20.92 a year earlier and down 21.7% from the prior quarter.
Innovative Solutions & Support (IA) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Innovative Solutions & Support's Price to Earnings came in at 14.19, down 13.2% from FY2024.
- Annual Price to Earnings has declined for three straight fiscal years.
- Across earlier fiscal years, Price to Earnings came in at 16.34 in FY2024 (-25.8%), 22.01 in FY2023 (-18.7%), 27.05 in FY2022 (+13.2%) and 23.90 in FY2021 (-33.6%).
- Quarterly Price to Earnings has ranged from 10.25 in fiscal Q2 2025 to 28.10 in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Price to Earnings rose in two of the last eight quarters, with growth averaging 0.8%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 110.3% in fiscal Q2 2026, against a decline of 49.4% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 21.55 (Q2 2026), 17.77 (Q1 2026) and 14.19 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Innovative Solutions & Support | 346.57 Mn | 318.14 Mn | 13.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.87 |
| Mar 31, 2026 | 21.55 |
| Dec 31, 2025 | 17.77 |
| Sep 30, 2025 | 14.19 |
| Jun 30, 2025 | 20.92 |
| Mar 31, 2025 | 10.25 |
| Dec 31, 2024 | 22.44 |
| Sep 30, 2024 | 16.34 |
| Jun 30, 2024 | 16.27 |
| Mar 31, 2024 | 20.25 |
| Dec 31, 2023 | 23.32 |
| Sep 30, 2023 | 22.01 |
| Jun 30, 2023 | 25.04 |
| Mar 31, 2023 | 25.96 |
| Dec 31, 2022 | 28.10 |
| Sep 30, 2022 | 27.05 |
| Jun 30, 2022 | 22.81 |
| Mar 31, 2022 | 20.54 |
| Dec 31, 2021 | 19.02 |
| Sep 30, 2021 | 23.90 |
Innovative Solutions & Support Price to Earnings 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=price-to-earnings&ticker=IA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();