Inseego (INSG) EV to EBITDA (2018 - 2026)
Inseego's EV to EBITDA was 129.88 in Q2 2026, compared with 8.48 a year earlier and up 652.4% from the prior quarter.
Inseego (INSG) EV to EBITDA (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Inseego's EV to EBITDA was 84.35 through Jun 30, 2026; for FY2025, it was 10.43, up 30.1% from FY2024.
- In earlier years, EV to EBITDA was 8.02 in FY2024.
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q4 2020.
- Per Business Quant data, INSG's EV to EBITDA in the three quarters before Q2 2026 was 17.26 (Q1 2026), 10.43 (Q4 2025) and 16.16 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn |
| 10 | Inseego | 63.47 Mn | 2.85 Mn | 14.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.88 |
| Mar 31, 2026 | 17.26 |
| Dec 31, 2025 | 10.43 |
| Sep 30, 2025 | 16.16 |
| Jun 30, 2025 | 8.48 |
| Mar 31, 2025 | 5.63 |
| Dec 31, 2024 | 8.02 |
| Sep 30, 2024 | 39.95 |
| Dec 31, 2020 | 532.57 |
| Sep 30, 2019 | 62.20 |
| Jun 30, 2019 | 15.30 |
| Mar 31, 2019 | 12.38 |
| Dec 31, 2018 | 9.94 |
| Sep 30, 2018 | 9.05 |
| Jun 30, 2018 | 20.50 |
| Mar 31, 2018 | 303.55 |
Inseego EV to EBITDA 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-ebitda&ticker=INSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "INSG", "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-ebitda&ticker=INSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();