At&T (T) Accumulated Expenses (2010 - 2019)
At&T (T) recorded Accumulated Expenses of $2.5 billion in Q4 2019, down 2.3% from $2.56 billion a year earlier.
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Analysis
At&T (T) Accumulated Expenses (2010 - 2019) Analysis & Trends
Starting with Q4 2010, At&T's Accumulated Expenses history includes 10 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 9.4% (FY2014 to FY2019).
- Across earlier years, Accumulated Expenses came in at $2.56 billion in FY2018 (-3.9%), $2.66 billion in FY2017 (+31.5%), $2.02 billion in FY2016 (+2.5%) and $1.97 billion in FY2015 (+23.6%).
- The Q4 2019 figure is the lowest quarterly Accumulated Expenses since Q4 2016.
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 |
|---|---|
| Dec 31, 2019 | 2.50 Bn |
| Dec 31, 2018 | 2.56 Bn |
| Dec 31, 2017 | 2.66 Bn |
| Dec 31, 2016 | 2.02 Bn |
| Dec 31, 2015 | 1.97 Bn |
| Dec 31, 2014 | 1.60 Bn |
| Dec 31, 2013 | 1.56 Bn |
| Dec 31, 2012 | 1.59 Bn |
| Dec 31, 2011 | 1.58 Bn |
| Dec 31, 2010 | 1.60 Bn |
API Access
At&T Accumulated 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=accumulated-expenses&ticker=T&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();