Loar Holdings (LOAR) Enterprise Value (2024 - 2026)
Loar Holdings (LOAR) reported Enterprise Value of $7.43 billion for Q2 2026, down 6.7% from $7.96 billion a year earlier but up 41.0% from the prior quarter.
Loar Holdings (LOAR) Enterprise Value (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Loar Holdings' Enterprise Value came in at $7.15 billion, down 8.0% year-over-year; for FY2025, it came in at $6.28 billion, down 8.4% from FY2024.
- By year, Enterprise Value came in at $6.86 billion in FY2024.
- Five-year quarterly Enterprise Value spans a low of $4.72 billion in Q2 2024 and a high of $7.96 billion in Q2 2025.
- Year over year, Enterprise Value has now declined in each of the last three quarters, with growth averaging 9.1% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.27 billion (Q1 2026), $6.28 billion (Q4 2025) and $7.39 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Loar Holdings | 5.96 Bn | 5.56 Bn | 91.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.43 Bn |
| Mar 31, 2026 | 5.27 Bn |
| Dec 31, 2025 | 6.28 Bn |
| Sep 30, 2025 | 7.39 Bn |
| Jun 30, 2025 | 7.96 Bn |
| Mar 31, 2025 | 6.53 Bn |
| Dec 31, 2024 | 6.86 Bn |
| Sep 30, 2024 | 6.64 Bn |
| Jun 30, 2024 | 4.72 Bn |
Loar Holdings Enterprise Value 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=enterprise-value&ticker=LOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();