At&T (T) Total Liabilities (2009 - 2026)
At&T's Total Liabilities came in at $301.93 billion for Q2 2026, up 6.3% from $284.1 billion a year earlier and up 2.2% from the prior quarter.
Analysis
At&T (T) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, At&T's Total Liabilities was $293.71 billion, up 6.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $276.55 billion in FY2024 (-4.5%), $289.62 billion in FY2023 (-2.3%), $296.4 billion in FY2022 (-19.4%) and $367.77 billion in FY2021 (+6.1%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q1 2022.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 7.3%), and the weakest in Q1 2023 (a decline of 25.1%).
- Business Quant data shows T's Total Liabilities at $295.57 billion (Q1 2026), $293.71 billion (Q4 2025) and $296.46 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 304.99 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 157.29 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 301.93 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 7.70 Bn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 167.78 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 5.92 Bn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 25.22 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 3.46 Bn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | 41.11 Bn |
| 10 | Telefonica Brasil | 18.02 Bn | 12.02 Bn | 1.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.93 Bn |
| Mar 31, 2026 | 295.57 Bn |
| Dec 31, 2025 | 293.71 Bn |
| Sep 30, 2025 | 296.46 Bn |
| Jun 30, 2025 | 284.10 Bn |
| Mar 31, 2025 | 277.61 Bn |
| Dec 31, 2024 | 276.55 Bn |
| Sep 30, 2024 | 277.44 Bn |
| Jun 30, 2024 | 278.68 Bn |
| Mar 31, 2024 | 280.81 Bn |
| Dec 31, 2023 | 289.62 Bn |
| Sep 30, 2023 | 288.84 Bn |
| Jun 30, 2023 | 292.38 Bn |
| Mar 31, 2023 | 292.53 Bn |
| Dec 31, 2022 | 296.40 Bn |
| Sep 30, 2022 | 286.49 Bn |
| Jun 30, 2022 | 291.13 Bn |
| Mar 31, 2022 | 390.64 Bn |
| Dec 31, 2021 | 367.77 Bn |
| Sep 30, 2021 | 365.80 Bn |
API Access
At&T Total Liabilities 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=total-liabilities&ticker=T&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();