Ieh (IEHC) Other Operating Expenses (2010 - 2026)
Ieh (IEHC) recorded Other Operating Expenses of $6.7 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 29.5% from $5.18 million a year earlier but down 3.5% from the prior quarter.
Ieh (IEHC) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Ieh's Other Operating Expenses came in at $25.97 million as of Jun 30, 2026, up 17.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $24.64 million, up 11.7% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $22.05 million in FY2025 (+15.3%), $19.13 million in FY2024 (-1.6%), $19.43 million in FY2023 (-3.6%) and $20.17 million in FY2022 (-20.1%).
- Quarterly Other Operating Expenses has ranged from $4.11 million in fiscal Q2 2024 to $6.95 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 41.0% in fiscal Q2 2025, against a decline of 22.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.95 million (Q4 2026), $6.67 million (Q3 2026) and $5.65 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 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 |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Ieh | 74.69 Mn | 37.30 Mn | 3.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.70 Mn |
| Mar 31, 2026 | 6.95 Mn |
| Dec 31, 2025 | 6.67 Mn |
| Sep 30, 2025 | 5.65 Mn |
| Jun 30, 2025 | 5.18 Mn |
| Mar 31, 2025 | 5.42 Mn |
| Dec 31, 2024 | 5.75 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 5.08 Mn |
| Mar 31, 2024 | 5.87 Mn |
| Dec 31, 2023 | 4.70 Mn |
| Sep 30, 2023 | 4.11 Mn |
| Jun 30, 2023 | 4.46 Mn |
| Mar 31, 2023 | 5.09 Mn |
| Dec 31, 2022 | 4.71 Mn |
| Sep 30, 2022 | 4.47 Mn |
| Jun 30, 2022 | 5.17 Mn |
| Mar 31, 2022 | 4.73 Mn |
| Dec 31, 2021 | 4.77 Mn |
| Sep 30, 2021 | 5.74 Mn |
Ieh Other 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=other-operating-expenses&ticker=IEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=IEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();