Gilat Satellite Networks (GILT) EV to EBITDA (2009 - 2026)
Gilat Satellite Networks' (GILT) EV to EBITDA came in at 11.76 for the quarter ended Jun 30, 2026, up 59.9% from 7.35 a year earlier but down 9.7% from the prior quarter.
Gilat Satellite Networks (GILT) EV to EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Gilat Satellite Networks was 2.25; for the year ended Dec 31, 2025, it came in at 12.39, up 118.5% from the prior year.
- In prior years, Gilat Satellite Networks' EV to EBITDA was 5.67 in the year ended Dec 31, 2024 (-4.5%), 5.94 in the year ended Dec 31, 2023 (-46.9%), 11.19 in the year ended Dec 31, 2022 (-47.7%) and 21.38 in the year ended Dec 31, 2021 (+317.3%).
- Quarterly EV to EBITDA has run from a low of 3.92 in the quarter ended Jun 30, 2024 to a high of 25.33 in the quarter ended Mar 31, 2022 over five years.
- On a year-over-year basis, EV to EBITDA has increased in each of the last six quarters, with growth averaging 64.6% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Dec 31, 2021, with growth of 312.8%; the weakest was the quarter ended Mar 31, 2023, with a decline of 73.6%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 13.03 (quarter ended Mar 31, 2026), 12.39 (quarter ended Dec 31, 2025) and 13.81 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Gilat Satellite Networks | 594.88 Mn | -75.08 Mn | 37.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.76 |
| Mar 31, 2026 | 13.03 |
| Dec 31, 2025 | 12.39 |
| Sep 30, 2025 | 13.81 |
| Jun 30, 2025 | 7.35 |
| Mar 31, 2025 | 7.20 |
| Dec 31, 2024 | 5.67 |
| Sep 30, 2024 | 5.90 |
| Jun 30, 2024 | 3.92 |
| Mar 31, 2024 | 5.09 |
| Dec 31, 2023 | 5.94 |
| Sep 30, 2023 | 6.01 |
| Jun 30, 2023 | 7.77 |
| Mar 31, 2023 | 6.69 |
| Dec 31, 2022 | 11.19 |
| Sep 30, 2022 | 10.02 |
| Jun 30, 2022 | 13.79 |
| Mar 31, 2022 | 25.33 |
| Dec 31, 2021 | 21.23 |
| Sep 30, 2021 | 5.53 |
Gilat Satellite Networks 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=GILT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "GILT", "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=GILT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();