Loar Holdings (LOAR) EV to CFO (2024 - 2026)
Loar Holdings' (LOAR) EV to CFO stood at 61.24 in Q2 2026, down 31.4% from 89.24 a year earlier but up 33.5% from the prior quarter.
Loar Holdings (LOAR) EV to CFO (2024 - 2026) Analysis & Trends
On a TTM basis, Loar Holdings' EV to CFO came in at 58.94 as of Jun 30, 2026, down 32.3% year-over-year; for FY2025, it came in at 55.94, down 55.2% from FY2024.
- Across earlier years, EV to CFO came in at 124.81 in FY2024.
- Quarterly EV to CFO has ranged from 45.88 in Q1 2026 to 150.53 in Q2 2024 over the past five years.
- On a year-over-year basis, EV to CFO has declined for five consecutive quarters, with an average decline of 45.2% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at 45.88 (Q1 2026), 55.94 (Q4 2025) and 72.05 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn |
| 10 | Loar Holdings | 5.81 Bn | 5.41 Bn | 91.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.24 |
| Mar 31, 2026 | 45.88 |
| Dec 31, 2025 | 55.94 |
| Sep 30, 2025 | 72.05 |
| Jun 30, 2025 | 89.24 |
| Mar 31, 2025 | 90.04 |
| Dec 31, 2024 | 124.81 |
| Sep 30, 2024 | 143.46 |
| Jun 30, 2024 | 150.53 |
Loar Holdings EV to CFO 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=ev-to-cfo&ticker=LOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();