Tim (TIMB) Change in Accrued Expenses (2019 - 2023)
Tim's Change in Accured Expenses came in at $178.77 million for the year ended Dec 31, 2020, down 14.4% from $208.77 million a year earlier.
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Analysis
Tim (TIMB) Change in Accrued Expenses (2019 - 2023) Analysis & Trends
- Per Business Quant, earlier years put Change in Accured Expenses at $208.77 million in the year ended Dec 31, 2019 (+184.2%) and $73.45 million in the year ended Dec 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | -421.00 Mn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 1.31 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | -68.00 Mn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | - |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | - |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | - |
| 10 | Tim | 8.75 Bn | 4.46 Bn | 1.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 530,856.87 |
| Mar 31, 2023 | 14.56 Mn |
| Dec 31, 2022 | -649,337.74 |
| Sep 30, 2022 | 3.18 Mn |
| Jun 30, 2022 | -3.70 Mn |
| Mar 31, 2022 | 8.65 Mn |
| Sep 30, 2021 | 10.98 Mn |
| Jun 30, 2021 | 384,915.10 |
| Mar 31, 2021 | 7.20 Mn |
| Sep 30, 2020 | 112.45 Mn |
| Jun 30, 2020 | 74.67 Mn |
| Mar 31, 2020 | 37.74 Mn |
| Sep 30, 2019 | 155.77 Mn |
API Access
Tim Change in Accrued 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=change-in-accured-expenses&ticker=TIMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();