Innovative Solutions & Support (IA) Inventory (2010 - 2026)
Innovative Solutions & Support (IA) reported Inventory of $32.08 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 54.8% from $20.72 million a year earlier and up 14.3% from the prior quarter.
Powered by 
Analysis
Innovative Solutions & Support (IA) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Innovative Solutions & Support posted Inventory of $25.8 million, up 102.7% from FY2024.
- Inventory has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 43.2% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $12.73 million in FY2024 (+107.4%), $6.14 million in FY2023 (+14.8%), $5.35 million in FY2022 (+17.7%) and $4.55 million in FY2021 (+5.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Inventory in data going back to fiscal Q4 2010.
- Year over year, Inventory has now increased in each of the last 21 quarters, with growth averaging 80.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Inventory ranged from 0.8% (fiscal Q2 2022) to 153.2% (fiscal Q3 2024).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $28.07 million (Q2 2026), $28.27 million (Q1 2026) and $25.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn | 32.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.08 Mn |
| Mar 31, 2026 | 28.07 Mn |
| Dec 31, 2025 | 28.27 Mn |
| Sep 30, 2025 | 25.80 Mn |
| Jun 30, 2025 | 20.72 Mn |
| Mar 31, 2025 | 18.85 Mn |
| Dec 31, 2024 | 15.51 Mn |
| Sep 30, 2024 | 12.73 Mn |
| Jun 30, 2024 | 14.54 Mn |
| Mar 31, 2024 | 9.12 Mn |
| Dec 31, 2023 | 7.80 Mn |
| Sep 30, 2023 | 6.14 Mn |
| Jun 30, 2023 | 5.74 Mn |
| Mar 31, 2023 | 5.90 Mn |
| Dec 31, 2022 | 5.25 Mn |
| Sep 30, 2022 | 5.35 Mn |
| Jun 30, 2022 | 4.91 Mn |
| Mar 31, 2022 | 4.69 Mn |
| Dec 31, 2021 | 4.61 Mn |
| Sep 30, 2021 | 4.55 Mn |
API Access
Innovative Solutions & Support Inventory 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=inventory&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();