Loar Holdings (LOAR) Price to Book (2024 - 2026)
Loar Holdings' Price to Book came in at 6.30 for Q2 2026, down 11.9% from 7.15 a year earlier but up 38.5% from the prior quarter.
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Analysis
Loar Holdings (LOAR) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Loar Holdings' Price to Book was 5.42, down 14.7% from FY2024.
- Going back by year, Price to Book was 6.35 in FY2024.
- The five-year range for quarterly Price to Book is 4.55 (Q1 2026) to 8.69 (Q3 2024).
- Year-over-year, Price to Book has declined for four consecutive quarters, with an average decline of 12.6% over the last five quarters.
- Business Quant data shows LOAR's Price to Book at 4.55 (Q1 2026), 5.42 (Q4 2025) and 6.46 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn |
| 10 | Loar Holdings | 6.08 Bn | 5.68 Bn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.30 |
| Mar 31, 2026 | 4.55 |
| Dec 31, 2025 | 5.42 |
| Sep 30, 2025 | 6.46 |
| Jun 30, 2025 | 7.15 |
| Mar 31, 2025 | 5.97 |
| Dec 31, 2024 | 6.35 |
| Sep 30, 2024 | 8.69 |
| Jun 30, 2024 | 6.32 |
API Access
Loar Holdings Price to Book 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=price-to-book&ticker=LOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();