Ieh (IEHC) Price to Earnings (2011 - 2026)
Ieh's (IEHC) Price to Earnings stood at 4505.56 in fiscal Q1 2027 (quarter ended Jun 30, 2026).
Analysis
Ieh (IEHC) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025 (ended Mar 31, 2025), Ieh's Price to Earnings came in at 18.10.
- Across earlier fiscal years, Price to Earnings came in at 20.52 in FY2022 (-0.3%) and 20.57 in FY2021 (-11.8%).
- The fiscal Q1 2027 figure is the highest quarterly Price to Earnings in data going back to fiscal Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 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 |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Ieh | 74.47 Mn | 37.07 Mn | 3.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,505.56 |
| Mar 31, 2025 | 18.10 |
| Dec 31, 2024 | 25.50 |
| Sep 30, 2024 | 169.73 |
| Mar 31, 2022 | 20.52 |
| Dec 31, 2021 | 27.96 |
| Sep 30, 2021 | 12.60 |
| Jun 30, 2021 | 9.49 |
| Mar 31, 2021 | 20.57 |
| Dec 31, 2020 | 10.94 |
| Sep 30, 2020 | 10.74 |
| Jun 30, 2020 | 52.18 |
| Mar 31, 2020 | 23.32 |
| Dec 31, 2019 | 29.64 |
| Sep 27, 2019 | 28.29 |
| Jun 28, 2019 | 10.36 |
| Mar 29, 2019 | 7.23 |
| Dec 28, 2018 | 6.39 |
| Sep 28, 2018 | 6.50 |
| Jun 29, 2018 | 4.97 |
API Access
Ieh Price to Earnings 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=price-to-earnings&ticker=IEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=IEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();