Innovative Solutions & Support (IA) Cost of Revenue (2010 - 2026)
Innovative Solutions & Support (IA) posted Cost of Revenue of $12.92 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 17.0% from $15.56 million a year earlier but up 18.2% from the prior quarter.
Innovative Solutions & Support (IA) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Innovative Solutions & Support was $41.97 million, down 1.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $43.79 million, up 105.7% from FY2024.
- Annual Cost of Revenue has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 34.9% (FY2020 to FY2025).
- In prior fiscal years, Innovative Solutions & Support's Cost of Revenue was $21.28 million in FY2024 (+57.7%), $13.5 million in FY2023 (+22.0%), $11.07 million in FY2022 (+7.8%) and $10.26 million in FY2021 (+4.8%).
- Quarterly Cost of Revenue has run from a low of $2.6 million in fiscal Q2 2023 to a high of $15.56 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 61.2%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q3 2025, with growth of 183.7%; the weakest was fiscal Q3 2026, with a decline of 17.0%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $10.93 million (Q2 2026), $9.92 million (Q1 2026) and $8.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Innovative Solutions & Support | 339.91 Mn | 311.47 Mn | 13.81 Mn | 12.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.92 Mn |
| Mar 31, 2026 | 10.93 Mn |
| Dec 31, 2025 | 9.92 Mn |
| Sep 30, 2025 | 8.20 Mn |
| Jun 30, 2025 | 15.56 Mn |
| Mar 31, 2025 | 10.67 Mn |
| Dec 31, 2024 | 9.36 Mn |
| Sep 30, 2024 | 6.86 Mn |
| Jun 30, 2024 | 5.49 Mn |
| Mar 31, 2024 | 5.16 Mn |
| Dec 31, 2023 | 3.78 Mn |
| Sep 30, 2023 | 4.88 Mn |
| Jun 30, 2023 | 3.22 Mn |
| Mar 31, 2023 | 2.60 Mn |
| Dec 31, 2022 | 2.79 Mn |
| Sep 30, 2022 | 2.80 Mn |
| Jun 30, 2022 | 2.88 Mn |
| Mar 31, 2022 | 2.66 Mn |
| Dec 31, 2021 | 2.73 Mn |
| Sep 30, 2021 | 2.91 Mn |
Innovative Solutions & Support Cost of Revenue 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=cost-of-revenue&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();