At&T (T) Non-cash Items (2009 - 2026)
At&T's Non-cash Items was $8.54 billion in Q4 2010, up 36.4% from $6.27 billion a year earlier.
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Analysis
At&T (T) Non-cash Items (2009 - 2026) Analysis & Trends
For FY2010, Non-cash Items at At&T came in at $14.81 billion, down 32.5% from FY2009.
- In earlier years, Non-cash Items was $21.96 billion in FY2009.
- The Q4 2010 figure marks the highest quarterly Non-cash Items in data going back to Q1 2009.
- Per Business Quant data, T's Non-cash Items in the three quarters before Q4 2010 was -$2.88 billion (Q3 2010), $4.46 billion (Q2 2010) and $4.69 billion (Q1 2010).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.21 Bn |
| Jun 30, 2026 | 5.76 Bn |
| Mar 31, 2026 | 3.38 Bn |
| Dec 31, 2025 | 7.16 Bn |
| Sep 30, 2025 | 475.00 Mn |
| Jun 30, 2025 | 4.90 Bn |
| Mar 31, 2025 | 4.36 Bn |
| Dec 31, 2024 | 7.49 Bn |
| Sep 30, 2024 | 10.09 Bn |
| Jun 30, 2024 | 5.14 Bn |
| Mar 31, 2024 | 3.80 Bn |
| Dec 31, 2023 | 8.80 Bn |
| Sep 30, 2023 | 6.51 Bn |
| Jun 30, 2023 | 5.16 Bn |
| Mar 31, 2023 | 2.23 Bn |
| Dec 31, 2022 | 33.47 Bn |
| Sep 30, 2022 | 3.75 Bn |
| Jun 30, 2022 | 2.99 Bn |
| Mar 31, 2022 | 2.48 Bn |
| Dec 31, 2021 | 2.88 Bn |
API Access
At&T Non-cash Items 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=non-cash-items&ticker=T&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();