Loar Holdings (LOAR) Change in Accured Expenses (2024 - 2026)
Loar Holdings (LOAR) reported Change in Accured Expenses of -$2.7 million for Q2 2026, compared with -$3.6 million a year earlier.
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Analysis
Loar Holdings (LOAR) Change in Accured Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Loar Holdings' Change in Accured Expenses came in at $2.72 million, up 178.5% year-over-year; for FY2025, it came in at $5.07 million.
- By year, Change in Accured Expenses came in at -$2.08 million in FY2024 and $1.05 million in FY2023.
- Five-year quarterly Change in Accured Expenses spans a low of -$4.44 million in Q2 2024 and a high of $3.8 million in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$234,000 (Q1 2026), $3.8 million (Q4 2025) and $1.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 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 | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Loar Holdings | 5.78 Bn | 5.38 Bn | 91.20 Mn | -2.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.70 Mn |
| Mar 31, 2026 | -234,000.00 |
| Dec 31, 2025 | 3.80 Mn |
| Sep 30, 2025 | 1.85 Mn |
| Jun 30, 2025 | -3.60 Mn |
| Mar 31, 2025 | 3.03 Mn |
| Dec 31, 2024 | -570,000.00 |
| Sep 30, 2024 | 2.12 Mn |
| Jun 30, 2024 | -4.44 Mn |
| Mar 31, 2024 | 811,000.00 |
API Access
Loar Holdings Change in Accured 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=change-in-accured-expenses&ticker=LOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();