Loar Holdings (LOAR) Assets (2023 - 2026)
Loar Holdings (LOAR) posted Assets of $2.33 billion for Q2 2026, up 55.3% from $1.5 billion a year earlier and up 1.2% from the prior quarter.
Analysis
Loar Holdings (LOAR) Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Loar Holdings' Assets came in at $2.03 billion, up 39.9% from FY2024.
- In prior years, Loar Holdings' Assets was $1.45 billion in FY2024 (+38.1%) and $1.05 billion in FY2023.
- The Q2 2026 figure stands as the highest quarterly Assets in data going back to Q4 2023.
- On a year-over-year basis, Assets has increased in each of the last seven quarters, with growth averaging 38.5% over the last seven quarters.
- According to Business Quant data, Assets for the three prior quarters was $2.3 billion (Q1 2026), $2.03 billion (Q4 2025) and $1.53 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Loar Holdings | 5.96 Bn | 5.56 Bn | 91.20 Mn | 2.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.33 Bn |
| Mar 31, 2026 | 2.30 Bn |
| Dec 31, 2025 | 2.03 Bn |
| Sep 30, 2025 | 1.53 Bn |
| Jun 30, 2025 | 1.50 Bn |
| Mar 31, 2025 | 1.48 Bn |
| Dec 31, 2024 | 1.45 Bn |
| Sep 30, 2024 | 1.47 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.05 Bn |
API Access
Loar Holdings Assets 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=assets&ticker=LOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();