Comcast (CMCSA) Operating Expenses (2009 - 2026)
Comcast's Operating Expenses came in at $24.78 billion for Q2 2026, up 1.9% from $24.32 billion a year earlier but down 9.3% from the prior quarter.
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Analysis
Comcast (CMCSA) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Comcast reported Operating Expenses of $106.59 billion, up 4.8% year-over-year; for FY2025, it came in at $103.04 billion, up 2.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $100.43 billion in FY2024 (+2.2%), $98.26 billion in FY2023 (-8.5%), $107.39 billion in FY2022 (+12.4%) and $95.57 billion in FY2021 (+11.0%).
- The five-year range for quarterly Operating Expenses is $23.05 billion (Q2 2024) to $32.27 billion (Q3 2022).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 29.9%), and the weakest in Q3 2023 (a decline of 26.8%).
- Business Quant data shows CMCSA's Operating Expenses at $27.32 billion (Q1 2026), $28.82 billion (Q4 2025) and $25.67 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | -2.51 Bn |
| 10 | Telefonica Brasil | 18.02 Bn | 12.02 Bn | 1.42 Bn | -904.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.78 Bn |
| Mar 31, 2026 | 27.32 Bn |
| Dec 31, 2025 | 28.82 Bn |
| Sep 30, 2025 | 25.67 Bn |
| Jun 30, 2025 | 24.32 Bn |
| Mar 31, 2025 | 24.23 Bn |
| Dec 31, 2024 | 26.92 Bn |
| Sep 30, 2024 | 26.21 Bn |
| Jun 30, 2024 | 23.05 Bn |
| Mar 31, 2024 | 24.25 Bn |
| Dec 31, 2023 | 26.77 Bn |
| Sep 30, 2023 | 23.64 Bn |
| Jun 30, 2023 | 23.80 Bn |
| Mar 31, 2023 | 24.05 Bn |
| Dec 31, 2022 | 26.02 Bn |
| Sep 30, 2022 | 32.27 Bn |
| Jun 30, 2022 | 23.65 Bn |
| Mar 31, 2022 | 25.44 Bn |
| Dec 31, 2021 | 25.52 Bn |
| Sep 30, 2021 | 24.85 Bn |
API Access
Comcast Operating Expenses 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=operating-expenses&ticker=CMCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CMCSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CMCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();