Loar Holdings (LOAR) Other Accumulated Expenses (2023 - 2026)
Loar Holdings' Other Accumulated Expenses was $10.28 million in Q2 2026, down 1.6% from $10.45 million a year earlier but up 6.5% from the prior quarter.
Loar Holdings (LOAR) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Loar Holdings came in at $9.84 million, up 34.9% from FY2024.
- In earlier years, Other Accumulated Expenses was $7.3 million in FY2024 (-29.7%) and $10.37 million in FY2023.
- Quarterly Other Accumulated Expenses has moved between $7.3 million (Q4 2024) and $14.26 million (Q3 2024) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in 1 of the last seven quarters, with an average decline of 5.8%.
- Per Business Quant data, LOAR's Other Accumulated Expenses in the three quarters before Q2 2026 was $9.66 million (Q1 2026), $9.84 million (Q4 2025) and $11.46 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.28 Mn |
| Mar 31, 2026 | 9.66 Mn |
| Dec 31, 2025 | 9.84 Mn |
| Sep 30, 2025 | 11.46 Mn |
| Jun 30, 2025 | 10.45 Mn |
| Mar 31, 2025 | 9.93 Mn |
| Dec 31, 2024 | 7.30 Mn |
| Sep 30, 2024 | 14.26 Mn |
| Jun 30, 2024 | 11.98 Mn |
| Mar 31, 2024 | 10.96 Mn |
| Dec 31, 2023 | 10.37 Mn |
Loar Holdings Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();