Loar Holdings (LOAR) EV to EBITDA (2024 - 2026)
Loar Holdings' (LOAR) EV to EBITDA was 42.94 for Q2 2026, down 30.7% from 61.96 a year earlier but up 23.2% from the prior quarter.
Loar Holdings (LOAR) EV to EBITDA (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Loar Holdings' EV to EBITDA came in at 41.33, down 31.7% year-over-year; for FY2025, it was 53.15, down 23.4% from FY2024.
- By year, EV to EBITDA came in at 69.39 in FY2024.
- Five-year quarterly EV to EBITDA spans a low of 34.84 in Q1 2026 and a high of 69.91 in Q3 2024.
- Year over year, EV to EBITDA has now declined in each of the last four quarters, with an average decline of 21.9% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 34.84 (Q1 2026), 45.72 (Q4 2025) and 54.81 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 314.29 Bn | 268.06 Bn | 4.68 Bn |
| 2 | Rtx | 259.00 Bn | 230.48 Bn | 5.13 Bn |
| 3 | Boeing | 151.57 Bn | 58.26 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.48 Bn | 113.21 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.49 Bn | 80.61 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.18 Bn | 78.78 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.35 Bn | 73.70 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.55 Bn | 65.80 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.96 Bn | 20.09 Bn | 3.65 Bn |
| 10 | Loar Holdings | 5.91 Bn | 5.51 Bn | 91.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.35 |
| Mar 31, 2026 | 34.47 |
| Dec 31, 2025 | 45.41 |
| Sep 30, 2025 | 54.37 |
| Jun 30, 2025 | 61.44 |
| Mar 31, 2025 | 56.99 |
| Dec 31, 2024 | 68.46 |
| Sep 30, 2024 | 68.90 |
| Jun 30, 2024 | 52.27 |
Loar Holdings EV to EBITDA 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=ev-to-ebitda&ticker=LOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();