Loar Holdings (LOAR) Price to Earnings (2024 - 2026)
Loar Holdings' Price to Earnings came in at 111.05 for Q2 2026, down 38.9% from 181.82 a year earlier but up 40.7% from the prior quarter.
Analysis
Loar Holdings (LOAR) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2025, Loar Holdings' Price to Earnings was 88.24, down 71.6% from FY2024.
- Going back by year, Price to Earnings was 311.04 in FY2024.
- The five-year range for quarterly Price to Earnings is 78.91 (Q1 2026) to 393.65 (Q2 2024).
- Year-over-year, Price to Earnings has declined for five consecutive quarters, with an average decline of 58.1% over the last five quarters.
- Business Quant data shows LOAR's Price to Earnings at 78.91 (Q1 2026), 88.24 (Q4 2025) and 118.28 (Q3 2025) in the three quarters before Q2 2026.
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 | Loar Holdings | 5.78 Bn | 5.38 Bn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.05 |
| Mar 31, 2026 | 78.91 |
| Dec 31, 2025 | 88.24 |
| Sep 30, 2025 | 118.28 |
| Jun 30, 2025 | 181.82 |
| Mar 31, 2025 | 187.26 |
| Dec 31, 2024 | 311.04 |
| Sep 30, 2024 | 372.28 |
| Jun 30, 2024 | 393.65 |
API Access
Loar Holdings 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=LOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "LOAR", "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=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();