At&T (T) Total Non-Current Liabilities (2009 - 2026)
At&T's Total Non-Current Liabilities came in at $190.02 billion for Q2 2026, up 9.5% from $173.61 billion a year earlier and up 3.3% from the prior quarter.
Analysis
At&T (T) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, At&T's Total Non-Current Liabilities was $182.87 billion.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $7.39 billion in FY2024 (-9.8%), $8.19 billion in FY2023 (+3.0%), $7.95 billion in FY2022 (-7.7%) and $8.61 billion in FY2021 (-96.0%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2022.
- Year-over-year, Total Non-Current Liabilities increased in four of the last seven quarters, with growth averaging 1.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 11.5%), and the weakest in Q4 2021 (a decline of 96.0%).
- Business Quant data shows T's Total Non-Current Liabilities at $184.01 billion (Q1 2026), $182.87 billion (Q4 2025) and $183.95 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.18 Bn | 148.31 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 170.25 Bn | 155.00 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 162.35 Bn | 94.31 Bn | 25.82 Bn | 165.71 Bn |
| 4 | Grupo Televisa, S.A.B | 149.53 Bn | 141.26 Bn | 318.12 Mn | 5.55 Bn |
| 5 | Comcast | 79.50 Bn | 43.56 Bn | - | 146.48 Bn |
| 6 | Vodafone Group Public | 38.13 Bn | 7.53 Bn | - | 59.09 Bn |
| 7 | Chunghwa Telecom | 36.93 Bn | 28.95 Bn | 728.80 Mn | 18.48 Mn |
| 8 | EchoStar | 25.06 Bn | 16.15 Bn | 1.65 Bn | 21.41 Bn |
| 9 | Telefonica Brasil | 20.65 Bn | 14.67 Bn | 1.42 Bn | 187.58 Mn |
| 10 | Bce | 18.59 Bn | 16.71 Bn | 3.38 Bn | 32.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.71 Bn |
| Mar 31, 2026 | 158.90 Bn |
| Dec 31, 2025 | 157.77 Bn |
| Sep 30, 2025 | 158.50 Bn |
| Jun 30, 2025 | 149.74 Bn |
| Mar 31, 2025 | 142.49 Bn |
| Dec 31, 2024 | 143.40 Bn |
| Sep 30, 2024 | 145.13 Bn |
| Jun 30, 2024 | 145.68 Bn |
| Mar 31, 2024 | 149.07 Bn |
| Dec 31, 2023 | 157.26 Bn |
| Sep 30, 2023 | 154.77 Bn |
| Jun 30, 2023 | 158.88 Bn |
| Mar 31, 2023 | 153.99 Bn |
| Dec 31, 2022 | 155.75 Bn |
| Sep 30, 2022 | 146.69 Bn |
| Jun 30, 2022 | 150.57 Bn |
| Mar 31, 2022 | 232.97 Bn |
| Dec 31, 2021 | 232.00 Bn |
| Sep 30, 2021 | 207.28 Bn |
API Access
At&T Total Non-Current 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-non-current-liabilities&ticker=T&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();