Loar Holdings (LOAR) Accumulated Expenses (2023 - 2026)
Loar Holdings' Accumulated Expenses came in at $36.44 million for Q2 2026, up 37.1% from $26.59 million a year earlier but down 5.8% from the prior quarter.
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Analysis
Loar Holdings (LOAR) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Loar Holdings' Accumulated Expenses was $36.42 million, up 35.4% from FY2024.
- Going back by year, Accumulated Expenses was $26.9 million in FY2024 (+8.6%) and $24.78 million in FY2023.
- The five-year range for quarterly Accumulated Expenses is $22.09 million (Q2 2024) to $38.68 million (Q1 2026).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 18.9% over the last seven quarters.
- Business Quant data shows LOAR's Accumulated Expenses at $38.68 million (Q1 2026), $36.42 million (Q4 2025) and $28.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Loar Holdings | 5.76 Bn | 5.36 Bn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.44 Mn |
| Mar 31, 2026 | 38.68 Mn |
| Dec 31, 2025 | 36.42 Mn |
| Sep 30, 2025 | 28.65 Mn |
| Jun 30, 2025 | 26.59 Mn |
| Mar 31, 2025 | 30.01 Mn |
| Dec 31, 2024 | 26.90 Mn |
| Sep 30, 2024 | 29.33 Mn |
| Jun 30, 2024 | 22.09 Mn |
| Mar 31, 2024 | 28.70 Mn |
| Dec 31, 2023 | 24.78 Mn |
API Access
Loar Holdings 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=accumulated-expenses&ticker=LOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();