Cogent Communications Holdings (CCOI) EV to CFO (2011 - 2026)
Cogent Communications Holdings' EV to CFO came in at 22.54 for Q2 2026.
Analysis
Cogent Communications Holdings (CCOI) EV to CFO (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cogent Communications Holdings reported EV to CFO of -18.98; for FY2023, it was 204.36.
- Going back by year, EV to CFO was 13.83 in FY2022 (-25.0%), 18.44 in FY2021 (+5.4%), 17.50 in FY2020 (-3.0%) and 18.03 in FY2019 (+32.8%).
- The Q2 2026 figure represents the lowest quarterly EV to CFO since Q2 2023.
- The fastest year-over-year change in EV to CFO over five years came in Q3 2023 (growth of 122.0%), and the weakest in Q1 2025 (a decline of 91.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn |
| 10 | Cogent Communications Holdings | 356.77 Mn | -641.47 Mn | 110.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.54 |
| Sep 30, 2025 | 165.28 |
| Mar 31, 2025 | 331.95 |
| Mar 31, 2024 | 4,028.23 |
| Dec 31, 2023 | 204.36 |
| Sep 30, 2023 | 27.21 |
| Jun 30, 2023 | 14.28 |
| Mar 31, 2023 | 17.44 |
| Dec 31, 2022 | 13.83 |
| Sep 30, 2022 | 12.26 |
| Jun 30, 2022 | 15.12 |
| Mar 31, 2022 | 16.32 |
| Dec 31, 2021 | 18.44 |
| Sep 30, 2021 | 17.58 |
| Jun 30, 2021 | 20.90 |
| Mar 31, 2021 | 19.06 |
| Dec 31, 2020 | 17.50 |
| Sep 30, 2020 | 16.43 |
| Jun 30, 2020 | 21.70 |
| Mar 31, 2020 | 23.47 |
API Access
Cogent Communications Holdings 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=CCOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "CCOI", "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=CCOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();