Loar Holdings (LOAR) Debt Ratio (2023 - 2026)
Loar Holdings' (LOAR) Debt Ratio was 0.41 for Q2 2026, up 120.2% from 0.19 a year earlier but down 1.3% from the prior quarter.
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Analysis
Loar Holdings (LOAR) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Debt Ratio at Loar Holdings was 0.35, up 84.4% from FY2024.
- By year, Debt Ratio came in at 0.19 in FY2024 (-62.5%) and 0.51 in FY2023.
- Five-year quarterly Debt Ratio spans a low of 0.18 in Q3 2025 and a high of 0.51 in Q4 2023.
- Year over year, Debt Ratio has now increased in each of the last three quarters, with growth averaging 17.9% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.41 (Q1 2026), 0.35 (Q4 2025) and 0.18 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 0.15 |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 0.21 |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 0.28 |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 0.33 |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 0.37 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 0.12 |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 0.47 |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 0.28 |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 0.44 |
| 10 | Loar Holdings | 5.96 Bn | 5.56 Bn | 91.20 Mn | 0.41 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.41 |
| Mar 31, 2026 | 0.41 |
| Dec 31, 2025 | 0.35 |
| Sep 30, 2025 | 0.18 |
| Jun 30, 2025 | 0.19 |
| Mar 31, 2025 | 0.19 |
| Dec 31, 2024 | 0.19 |
| Sep 30, 2024 | 0.41 |
| Jun 30, 2024 | 0.23 |
| Mar 31, 2024 | 0.51 |
| Dec 31, 2023 | 0.51 |
API Access
Loar Holdings Debt Ratio 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=debt-ratio&ticker=LOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();