Siebert Financial (SIEB) EV to EBITDA (2012 - 2026)
Siebert Financial's EV to EBITDA came in at 136.44 for Q2 2026, compared with 9.88 a year earlier.
Siebert Financial (SIEB) EV to EBITDA (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Siebert Financial reported EV to EBITDA of -287.38; for FY2025, it came in at 12.51, up 219.7% from FY2024.
- Going back by year, EV to EBITDA was 3.91 in FY2024 (+80.4%), 2.17 in FY2023, -64.97 in FY2022 and 8.55 in FY2021 (-64.7%).
- The Q2 2026 figure represents the highest quarterly EV to EBITDA since Q4 2017.
- Year-over-year, EV to EBITDA increased in four of the last six quarters, with growth averaging 123.6%.
- The fastest year-over-year change in EV to EBITDA over five years came in Q2 2025 (growth of 347.5%), and the weakest in Q3 2023 (a decline of 88.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.06 Bn | 94.16 Bn | - |
| 2 | Intercontinental Exchange | 89.19 Bn | 82.93 Bn | - |
| 3 | Robinhood Markets | 88.23 Bn | 69.26 Bn | - |
| 4 | Nasdaq | 53.39 Bn | 50.82 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 37.11 Bn | 14.22 Bn | - |
| 6 | Cboe Global Markets | 33.08 Bn | 24.74 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - |
| 8 | Tradeweb Markets | 25.36 Bn | 17.38 Bn | - |
| 9 | Circle Internet | 21.35 Bn | 15.23 Bn | 288.85 Mn |
| 10 | Siebert Financial | 76.63 Mn | -71.37 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.44 |
| Dec 31, 2025 | 12.51 |
| Sep 30, 2025 | 7.25 |
| Jun 30, 2025 | 9.88 |
| Mar 31, 2025 | 2.76 |
| Dec 31, 2024 | 3.91 |
| Sep 30, 2024 | 3.58 |
| Jun 30, 2024 | 2.21 |
| Mar 31, 2024 | 3.00 |
| Dec 31, 2023 | 2.17 |
| Sep 30, 2023 | 3.60 |
| Jun 30, 2023 | 6.13 |
| Mar 31, 2023 | 7.10 |
| Dec 31, 2022 | -63.38 |
| Sep 30, 2022 | 30.82 |
| Jun 30, 2022 | 40.35 |
| Mar 31, 2022 | 16.39 |
| Dec 31, 2021 | 8.02 |
| Sep 30, 2021 | 10.57 |
| Jun 30, 2021 | 17.98 |
Siebert Financial 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=SIEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SIEB", "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=SIEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();