Optimum Communications (OPTU) Cost of Revenue (2016 - 2026)
Optimum Communications' Cost of Revenue was $587.65 million in Q2 2026, down 11.3% from $662.69 million a year earlier and down 6.9% from the prior quarter.
Optimum Communications (OPTU) Cost of Revenue (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Optimum Communications' Cost of Revenue was $2.52 billion through Jun 30, 2026, down 8.8% year-over-year; for FY2025, it was $2.64 billion, down 9.0% from FY2024.
- Cost of Revenue has now declined for four consecutive years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $2.9 billion in FY2024 (-4.4%), $3.03 billion in FY2023 (-5.5%), $3.21 billion in FY2022 (-5.2%) and $3.38 billion in FY2021 (+1.2%).
- The Q2 2026 figure marks the lowest quarterly Cost of Revenue in data going back to Q1 2016.
- Compared with a year earlier, Cost of Revenue has declined for 18 straight quarters, with an average decline of 7.7% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 7.7%); the worst was Q2 2026 (a decline of 11.3%).
- Per Business Quant data, OPTU's Cost of Revenue in the three quarters before Q2 2026 was $631.13 million (Q1 2026), $664.95 million (Q4 2025) and $639.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 7.23 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 8.03 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 5.74 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 502.80 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 1.21 Bn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 1.93 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 23.57 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 1.70 Bn |
| 10 | Optimum Communications | 410.05 Mn | -3.85 Bn | 1.44 Bn | 587.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 587.65 Mn |
| Mar 31, 2026 | 631.13 Mn |
| Dec 31, 2025 | 664.95 Mn |
| Sep 30, 2025 | 639.01 Mn |
| Jun 30, 2025 | 662.69 Mn |
| Mar 31, 2025 | 670.53 Mn |
| Dec 31, 2024 | 721.89 Mn |
| Sep 30, 2024 | 711.33 Mn |
| Jun 30, 2024 | 719.46 Mn |
| Mar 31, 2024 | 743.89 Mn |
| Dec 31, 2023 | 745.31 Mn |
| Sep 30, 2023 | 750.54 Mn |
| Jun 30, 2023 | 762.28 Mn |
| Mar 31, 2023 | 771.72 Mn |
| Dec 31, 2022 | 775.71 Mn |
| Sep 30, 2022 | 782.12 Mn |
| Jun 30, 2022 | 819.01 Mn |
| Mar 31, 2022 | 828.79 Mn |
| Dec 31, 2021 | 836.48 Mn |
| Sep 30, 2021 | 843.91 Mn |
Optimum Communications Cost of Revenue 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=cost-of-revenue&ticker=OPTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "OPTU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();