Lgl (LGL) EV to CFO (2011 - 2026)
Lgl's EV to CFO came in at 117.26 for Q2 2026, compared with 2.03 a year earlier.
Powered by 
Analysis
Lgl (LGL) EV to CFO (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lgl reported EV to CFO of -4520.13; for FY2025, it was -56.67.
- Going back by year, EV to CFO was -8.60 in FY2024, -15.12 in FY2023 and -14.58 in FY2021.
- The Q2 2026 figure represents the highest quarterly EV to CFO in data going back to Q2 2011.
- Business Quant data shows LGL's EV to CFO at 3.70 (Q1 2026), -56.67 (Q4 2025) and -8.53 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn |
| 10 | Lgl | 42.31 Mn | -132.69 Mn | 772,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.26 |
| Mar 31, 2026 | 3.70 |
| Dec 31, 2025 | -56.67 |
| Sep 30, 2025 | -8.53 |
| Jun 30, 2025 | 2.03 |
| Mar 31, 2025 | -4.48 |
| Dec 31, 2024 | -8.60 |
| Sep 30, 2024 | -8.15 |
| Jun 30, 2024 | -12.99 |
| Mar 31, 2024 | -8.33 |
| Dec 31, 2023 | -15.12 |
| Sep 30, 2023 | -33.31 |
| Jun 30, 2023 | -206.54 |
| Sep 30, 2022 | -56.19 |
| Jun 30, 2022 | -36.97 |
| Mar 31, 2022 | -56.77 |
| Dec 31, 2021 | -14.58 |
| Sep 30, 2021 | -24.52 |
| Jun 30, 2021 | -0.22 |
| Mar 31, 2021 | -1.04 |
API Access
Lgl 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=LGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "LGL", "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=LGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();