Saga Communications (SGA) EV to EBITDA (2023 - 2025)
Saga Communications' (SGA) EV to EBITDA stood at 11.21 in Q3 2025, up 70.9% from 6.56 a year earlier and up 36.4% from the prior quarter.
Saga Communications (SGA) EV to EBITDA (2023 - 2025) Analysis & Trends
On a TTM basis, Saga Communications' EV to EBITDA came in at -5.37 as of Sep 30, 2025; for FY2024, it was 5.66, down 5.6% from FY2023.
- Across earlier years, EV to EBITDA came in at 6.00 in FY2023 (+12.1%), 5.35 in FY2022 (+26.0%), 4.25 in FY2021 (-79.9%) and 21.16 in FY2020 (+236.8%).
- The Q3 2025 figure is the highest quarterly EV to EBITDA in data going back to Q2 2023.
- On a year-over-year basis, EV to EBITDA rose in four of the last six quarters, with growth averaging 19.7%.
- Per Business Quant, the preceding three quarters came in at 8.21 (Q2 2025), 6.77 (Q1 2025) and 5.66 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.37 Bn | 63.04 Bn | 4.10 Bn |
| 2 | Fox | 26.93 Bn | 12.84 Bn | - |
| 3 | Omnicom | 20.34 Bn | 3.04 Bn | 1.30 Bn |
| 4 | News | 15.87 Bn | 8.07 Bn | - |
| 5 | Paramount Skydance | 11.07 Bn | 8.99 Bn | - |
| 6 | Pearson | 10.15 Bn | 7.29 Bn | - |
| 7 | New York Times | 10.00 Bn | 7.49 Bn | 394.61 Mn |
| 8 | Sirius Xm Holdings | 8.68 Bn | 8.26 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.97 Bn | 5.91 Bn | - |
| 10 | Saga Communications | 52.64 Mn | -63.71 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 11.21 |
| Jun 30, 2025 | 8.21 |
| Mar 31, 2025 | 6.77 |
| Dec 31, 2024 | 5.66 |
| Sep 30, 2024 | 6.56 |
| Jun 30, 2024 | 6.74 |
| Mar 31, 2024 | 8.42 |
| Dec 31, 2023 | 6.00 |
| Sep 30, 2023 | 4.80 |
| Jun 30, 2023 | 5.91 |
Saga Communications 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=SGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SGA", "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=SGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();