At&T (T) Operating Expenses (2009 - 2026)
At&T's Operating Expenses was $24.52 billion in Q2 2026, up 0.7% from $24.35 billion a year earlier but down 1.3% from the prior quarter.
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Analysis
At&T (T) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, At&T's Operating Expenses was $101.64 billion through Jun 30, 2026, down 2.5% year-over-year; for FY2025, it came in at $101.49 billion, down 1.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $103.29 billion in FY2024 (+4.4%), $98.97 billion in FY2023 (-21.0%), $125.33 billion in FY2022 (+15.9%) and $108.14 billion in FY2021 (-19.7%).
- Quarterly Operating Expenses has moved between $23.51 billion (Q2 2023) and $52.44 billion (Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 1.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 100.1%); the worst was Q4 2023 (a decline of 49.0%).
- Per Business Quant data, T's Operating Expenses in the three quarters before Q2 2026 was $24.85 billion (Q1 2026), $27.68 billion (Q4 2025) and $24.59 billion (Q3 2025).
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 | 24.52 Bn |
| Mar 31, 2026 | 24.85 Bn |
| Dec 31, 2025 | 27.68 Bn |
| Sep 30, 2025 | 24.59 Bn |
| Jun 30, 2025 | 24.35 Bn |
| Mar 31, 2025 | 24.87 Bn |
| Dec 31, 2024 | 26.97 Bn |
| Sep 30, 2024 | 28.10 Bn |
| Jun 30, 2024 | 24.04 Bn |
| Mar 31, 2024 | 24.18 Bn |
| Dec 31, 2023 | 26.75 Bn |
| Sep 30, 2023 | 24.57 Bn |
| Jun 30, 2023 | 23.51 Bn |
| Mar 31, 2023 | 24.14 Bn |
| Dec 31, 2022 | 52.44 Bn |
| Sep 30, 2022 | 24.03 Bn |
| Jun 30, 2022 | 24.69 Bn |
| Mar 31, 2022 | 24.18 Bn |
| Dec 31, 2021 | 26.20 Bn |
| Sep 30, 2021 | 25.09 Bn |
API Access
At&T 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=T&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "T", "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=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();