Cogent Communications Holdings (CCOI) Cash & Equivalents (2010 - 2026)
Cogent Communications Holdings' Cash & Equivalents came in at $369.67 million for Q2 2026, up 20.5% from $306.73 million a year earlier and up 106.2% from the prior quarter.
Cogent Communications Holdings (CCOI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cogent Communications Holdings' Cash & Equivalents was $205.11 million, down 10.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $227.92 million in FY2024 (+100.3%), $113.78 million in FY2023 (-58.8%), $275.91 million in FY2022 (-16.0%) and $328.62 million in FY2021 (-11.5%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q2 2024.
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 19.4%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2024 (growth of 100.3%), and the weakest in Q4 2023 (a decline of 58.8%).
- Business Quant data shows CCOI's Cash & Equivalents at $179.27 million (Q1 2026), $205.11 million (Q4 2025) and $226.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.00 Bn | 155.40 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 173.83 Bn | 158.58 Bn | 14.76 Bn | 2.83 Bn |
| 3 | At&T | 166.58 Bn | 114.53 Bn | 25.82 Bn | 17.57 Bn |
| 4 | Grupo Televisa, S.A.B | 140.00 Bn | 128.63 Bn | 318.12 Mn | 1.70 Bn |
| 5 | Comcast | 76.75 Bn | 41.00 Bn | - | 7.66 Bn |
| 6 | Chunghwa Telecom | 35.34 Bn | 31.19 Bn | 728.80 Mn | 1.34 Bn |
| 7 | EchoStar | 25.60 Bn | 16.74 Bn | 1.65 Bn | 439.99 Mn |
| 8 | AST SpaceMobile | 22.19 Bn | 22.70 Bn | 7.95 Mn | 2.29 Bn |
| 9 | Bce | 18.58 Bn | 16.90 Bn | - | 344.84 Mn |
| 10 | Cogent Communications Holdings | 421.51 Mn | -576.74 Mn | 110.55 Mn | 369.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 369.67 Mn |
| Mar 31, 2026 | 179.27 Mn |
| Dec 31, 2025 | 205.11 Mn |
| Sep 30, 2025 | 226.29 Mn |
| Jun 30, 2025 | 306.73 Mn |
| Mar 31, 2025 | 183.97 Mn |
| Dec 31, 2024 | 227.92 Mn |
| Sep 30, 2024 | 316.09 Mn |
| Jun 30, 2024 | 426.24 Mn |
| Mar 31, 2024 | 163.27 Mn |
| Dec 31, 2023 | 113.78 Mn |
| Sep 30, 2023 | 166.07 Mn |
| Jun 30, 2023 | 243.95 Mn |
| Mar 31, 2023 | 234.42 Mn |
| Dec 31, 2022 | 275.91 Mn |
| Sep 30, 2022 | 323.66 Mn |
| Jun 30, 2022 | 349.85 Mn |
| Mar 31, 2022 | 311.77 Mn |
| Dec 31, 2021 | 328.62 Mn |
| Sep 30, 2021 | 354.96 Mn |
Cogent Communications Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=CCOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CCOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();