At&T (T) Total Non-Current Liabilities (2009 - 2026)
At&T's Total Non-Current Liabilities came in at $189.9 billion for Q3 2026, up 19.8% from $158.5 billion a year earlier and up 14.6% from the prior quarter.
At&T (T) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, At&T's Total Non-Current Liabilities was $157.77 billion, up 10.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $143.4 billion in FY2024 (-8.8%), $157.26 billion in FY2023 (+1.0%), $155.75 billion in FY2022 (-32.9%) and $232 billion in FY2021 (+22.8%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2022.
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 22.8%), and the weakest in Q1 2023 (a decline of 33.9%).
- Business Quant data shows T's Total Non-Current Liabilities at $165.71 billion (Q2 2026), $158.9 billion (Q1 2026) and $157.77 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 189.57 Bn | 155.91 Bn | 27.05 Bn | 241.96 Bn |
| 2 | T-Mobile US | 177.30 Bn | 159.74 Bn | 15.13 Bn | 132.81 Bn |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn | 189.90 Bn |
| 4 | Grupo Televisa, S.A.B | 144.51 Bn | 136.19 Bn | - | 5.44 Bn |
| 5 | Comcast | 85.95 Bn | 51.75 Bn | - | 143.69 Bn |
| 6 | Chunghwa Telecom | 37.94 Bn | 30.67 Bn | - | 1.80 Bn |
| 7 | Vodafone Group Public | 37.58 Bn | 6.97 Bn | - | 59.09 Bn |
| 8 | EchoStar | 30.20 Bn | 11.24 Bn | 647.20 Mn | 17.85 Bn |
| 9 | Bce | 20.05 Bn | 20.05 Bn | - | 32.77 Bn |
| 10 | Telefonica Brasil | 18.66 Bn | 13.32 Bn | - | 6.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 189.90 Bn |
| 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 |
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();