Innovative Solutions & Support (IA) Change in Accured Expenses (2010 - 2026)
Innovative Solutions & Support (IA) posted Change in Accured Expenses of $734,465 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 201.5% from $243,568 a year earlier and up 585.7% from the prior quarter.
Innovative Solutions & Support (IA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Innovative Solutions & Support was $1.28 million, up 225.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $2.7 million, up 333.1% from FY2024.
- In prior fiscal years, Innovative Solutions & Support's Change in Accured Expenses was $624,346 in FY2024 (+206.4%), $203,754 in FY2023 (-84.0%), $1.27 million in FY2022 and -$4,655 in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$2.6 million in fiscal Q1 2026 to a high of $3.03 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 62.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q4 2025, with growth of 322.7%; the weakest was fiscal Q2 2025, with a decline of 69.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $107,116 (Q2 2026), -$2.6 million (Q1 2026) and $3.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Innovative Solutions & Support | 339.91 Mn | 311.47 Mn | 13.81 Mn | 734,465.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 734,465.00 |
| Mar 31, 2026 | 107,116.00 |
| Dec 31, 2025 | -2.60 Mn |
| Sep 30, 2025 | 3.03 Mn |
| Jun 30, 2025 | 243,568.00 |
| Mar 31, 2025 | 157,466.00 |
| Dec 31, 2024 | -726,054.00 |
| Sep 30, 2024 | 716,583.00 |
| Jun 30, 2024 | 289,833.00 |
| Mar 31, 2024 | 521,603.00 |
| Dec 31, 2023 | -903,673.00 |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | -118,189.00 |
| Mar 31, 2023 | -121,947.00 |
| Dec 31, 2022 | -614,657.00 |
| Sep 30, 2022 | 915,260.00 |
| Jun 30, 2022 | 290,154.00 |
| Mar 31, 2022 | 179,036.00 |
| Dec 31, 2021 | -111,624.00 |
| Sep 30, 2021 | -211,282.00 |
Innovative Solutions & Support Change in Accured Expenses 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=change-in-accured-expenses&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();