Loar Holdings (LOAR) Finished Goods (2023 - 2026)
Loar Holdings (LOAR) reported Finished Goods of $32.03 million for Q2 2026, up 23.6% from $25.92 million a year earlier and up 2.2% from the prior quarter.
Loar Holdings (LOAR) Finished Goods (2023 - 2026) Analysis & Trends
At the end of FY2025, Loar Holdings posted Finished Goods of $27.64 million, up 16.7% from FY2024.
- By year, Finished Goods came in at $23.68 million in FY2024 (+9.0%) and $21.73 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Finished Goods in data going back to Q4 2023.
- Year over year, Finished Goods has now increased in each of the last seven quarters, with growth averaging 13.4% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.34 million (Q1 2026), $27.64 million (Q4 2025) and $25.92 million (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 | 32.03 Mn |
| Mar 31, 2026 | 31.34 Mn |
| Dec 31, 2025 | 27.64 Mn |
| Sep 30, 2025 | 25.92 Mn |
| Jun 30, 2025 | 25.92 Mn |
| Mar 31, 2025 | 24.75 Mn |
| Dec 31, 2024 | 23.68 Mn |
| Sep 30, 2024 | 25.10 Mn |
| Jun 30, 2024 | 23.54 Mn |
| Mar 31, 2024 | 23.71 Mn |
| Dec 31, 2023 | 21.73 Mn |
Loar Holdings Finished Goods 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=finished-goods&ticker=LOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();