At&T (T) Other Accumulated Expenses (2009 - 2023)
At&T (T) posted Other Accumulated Expenses of $3.92 billion for Q1 2023, down 24.3% from $5.18 billion a year earlier.
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Analysis
At&T (T) Other Accumulated Expenses (2009 - 2023) Analysis & Trends
At the end of FY2022, At&T's Other Accumulated Expenses came in at $130 million, down 96.7% from FY2021.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -48.2% (FY2017 to FY2022).
- In prior years, At&T's Other Accumulated Expenses was $3.97 billion in FY2021 (-35.8%), $6.18 billion in FY2020 (+0.8%), $6.12 billion in FY2019 (-30.1%) and $8.77 billion in FY2018 (+150.4%).
- Quarterly Other Accumulated Expenses has run from a low of $130 million in Q4 2022 to a high of $8.77 billion in Q4 2018 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last four quarters, with an average decline of 29.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2018, with growth of 150.4%; the weakest was Q4 2022, with a decline of 96.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $130 million (Q4 2022), $3.71 billion (Q3 2022) and $3.6 billion (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn |
| 10 | Bce | 18.40 Bn | 16.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 3.92 Bn |
| Dec 31, 2022 | 130.00 Mn |
| Sep 30, 2022 | 3.71 Bn |
| Jun 30, 2022 | 3.60 Bn |
| Mar 31, 2022 | 5.18 Bn |
| Dec 31, 2021 | 3.97 Bn |
| Sep 30, 2021 | 4.99 Bn |
| Jun 30, 2021 | 4.93 Bn |
| Mar 31, 2021 | 5.03 Bn |
| Dec 31, 2020 | 6.18 Bn |
| Sep 30, 2020 | 5.86 Bn |
| Jun 30, 2020 | 5.72 Bn |
| Mar 31, 2020 | 5.96 Bn |
| Dec 31, 2019 | 6.12 Bn |
| Sep 30, 2019 | 6.10 Bn |
| Jun 30, 2019 | 5.73 Bn |
| Mar 31, 2019 | 5.96 Bn |
| Dec 31, 2018 | 8.77 Bn |
| Dec 31, 2017 | 3.50 Bn |
| Dec 31, 2016 | 2.99 Bn |
API Access
At&T Other 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=other-accumulated-expenses&ticker=T&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();