Ieh (IEHC) Operating Expenses (2010 - 2026)
Ieh (IEHC) reported Operating Expenses of $9.36 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 32.5% from $7.06 million a year earlier and up 9.0% from the prior quarter.
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Analysis
Ieh (IEHC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ieh's Operating Expenses came in at $33.34 million, up 17.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $31.05 million, up 10.1% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $28.21 million in FY2025 (+11.6%), $25.29 million in FY2024 (+1.3%), $24.95 million in FY2023 (-1.0%) and $25.2 million in FY2022 (-21.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses since fiscal Q4 2020.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 13.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 373.8%); the low point was fiscal Q2 2023 (a decline of 17.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $8.58 million (Q4 2026), $8.22 million (Q3 2026) and $7.18 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Ieh | 74.69 Mn | 37.30 Mn | 3.32 Mn | 9.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.36 Mn |
| Mar 31, 2026 | 8.58 Mn |
| Dec 31, 2025 | 8.22 Mn |
| Sep 30, 2025 | 7.18 Mn |
| Jun 30, 2025 | 7.06 Mn |
| Mar 31, 2025 | 6.92 Mn |
| Dec 31, 2024 | 7.35 Mn |
| Sep 30, 2024 | 7.17 Mn |
| Jun 30, 2024 | 6.77 Mn |
| Mar 31, 2024 | 7.26 Mn |
| Dec 31, 2023 | 6.08 Mn |
| Sep 30, 2023 | 5.93 Mn |
| Jun 30, 2023 | 6.01 Mn |
| Mar 31, 2023 | 6.65 Mn |
| Dec 31, 2022 | 6.43 Mn |
| Sep 30, 2022 | 5.70 Mn |
| Jun 30, 2022 | 6.18 Mn |
| Mar 31, 2022 | 5.99 Mn |
| Dec 31, 2021 | 6.09 Mn |
| Sep 30, 2021 | 6.92 Mn |
API Access
Ieh Operating 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=operating-expenses&ticker=IEHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IEHC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=IEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();