Tim (TIMB) Other Accumulated Expenses (2019 - 2025)
Tim's Other Accumulated Expenses was $1.3 million in the quarter ended Mar 31, 2025, down 11.6% from $1.46 million a year earlier.
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Analysis
Tim (TIMB) Other Accumulated Expenses (2019 - 2025) Analysis & Trends
As of Dec 31, 2021, Other Accumulated Expenses at Tim came in at $872.8 million.
- In earlier years, Other Accumulated Expenses was $41.33 million in the year ended Dec 31, 2020 (+101.2%) and $20.54 million in the year ended Dec 31, 2019.
- The figure for the quarter ended Mar 31, 2025 marks the lowest quarterly Other Accumulated Expenses since the quarter ended Jun 30, 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 | Tim | 8.53 Bn | 4.23 Bn | 1.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 1.30 Mn |
| Sep 30, 2024 | 8.39 Mn |
| Jun 30, 2024 | 5.37 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Sep 30, 2023 | 4.08 Mn |
| Sep 30, 2022 | 7.67 Mn |
| Jun 30, 2022 | -1.81 Mn |
| Sep 30, 2021 | 868,769.63 |
| Mar 31, 2021 | 4.26 Mn |
| Dec 31, 2019 | 19.64 Mn |
API Access
Tim 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=TIMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "TIMB", "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=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();