Innovative Solutions & Support (IA) Retained Earnings (2010 - 2026)
Innovative Solutions & Support (IA) recorded Retained Earnings of $40.28 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 90.1% from $21.18 million a year earlier and up 12.5% from the prior quarter.
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Analysis
Innovative Solutions & Support (IA) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Innovative Solutions & Support reported Retained Earnings of $28.29 million, up 123.4% from FY2024.
- Across earlier fiscal years, Retained Earnings came in at $12.67 million in FY2024 (+123.5%), $5.67 million in FY2023, -$359,042 in FY2022 and -$5.88 million in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- On a year-over-year basis, Retained Earnings has increased for ten consecutive quarters, with growth averaging 116.0% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 90.1% (fiscal Q3 2026) and 392.6% (fiscal Q2 2024) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $35.79 million (Q2 2026), $32.35 million (Q1 2026) and $28.29 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 55.96 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 40.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.28 Mn |
| Mar 31, 2026 | 35.79 Mn |
| Dec 31, 2025 | 32.35 Mn |
| Sep 30, 2025 | 28.29 Mn |
| Jun 30, 2025 | 21.18 Mn |
| Mar 31, 2025 | 18.74 Mn |
| Dec 31, 2024 | 13.40 Mn |
| Sep 30, 2024 | 12.67 Mn |
| Jun 30, 2024 | 9.49 Mn |
| Mar 31, 2024 | 7.93 Mn |
| Dec 31, 2023 | 6.73 Mn |
| Sep 30, 2023 | 5.67 Mn |
| Jun 30, 2023 | 3.03 Mn |
| Mar 31, 2023 | 1.61 Mn |
| Dec 31, 2022 | 339,609.00 |
| Sep 30, 2022 | -359,042.00 |
| Jun 30, 2022 | -1.96 Mn |
| Mar 31, 2022 | -3.32 Mn |
| Dec 31, 2021 | -4.75 Mn |
| Sep 30, 2021 | -5.88 Mn |
API Access
Innovative Solutions & Support Retained 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=retained-earnings&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();