Tim (TIMB) Prepaid Assets (2019 - 2026)
Tim's Prepaid Assets was $130.92 million in the quarter ended Jun 30, 2026, up 117.8% from $60.1 million a year earlier but down 7.7% from the prior quarter.
Tim (TIMB) Prepaid Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Prepaid Assets at Tim came in at $60.96 million, up 25.8% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 15.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Prepaid Assets was $48.45 million in the year ended Dec 30, 2024 (+0.6%), $48.17 million in the year ended Dec 30, 2023 (-9.1%), $53.01 million in the year ended Dec 30, 2022 (+3.7%) and $51.1 million in the year ended Dec 31, 2021 (+73.8%).
- Quarterly Prepaid Assets has moved between $45.92 million (the quarter ended Mar 31, 2023) and $174.6 million (the quarter ended Jun 30, 2022) over five years.
- Compared with a year earlier, Prepaid Assets has increased for four straight quarters, with growth averaging 17.2% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Mar 31, 2024 (growth of 169.3%); the worst was the quarter ended Mar 31, 2023 (a decline of 53.1%).
- Per Business Quant data, TIMB's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $141.83 million (quarter ended Mar 31, 2026), $63.11 million (quarter ended Dec 31, 2025) and $81.49 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.66 Bn | 186.66 Bn | - |
| 2 | T-Mobile US | 167.65 Bn | 150.09 Bn | 15.13 Bn |
| 3 | At&T | 145.86 Bn | 87.32 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 129.78 Bn | 121.51 Bn | 318.12 Mn |
| 5 | Comcast | 82.44 Bn | 48.23 Bn | - |
| 6 | Vodafone Group Public | 38.03 Bn | 7.43 Bn | - |
| 7 | Chunghwa Telecom | 37.97 Bn | 29.99 Bn | 728.80 Mn |
| 8 | EchoStar | 28.08 Bn | 19.17 Bn | 1.65 Bn |
| 9 | Bce | 18.88 Bn | 17.00 Bn | 3.38 Bn |
| 10 | Tim | 8.58 Bn | 4.29 Bn | 1.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.88 Mn |
| Mar 31, 2026 | 141.80 Mn |
| Dec 31, 2025 | 122.28 Mn |
| Sep 30, 2025 | 83.43 Mn |
| Jun 30, 2025 | 62.11 Mn |
| Mar 31, 2025 | 114.47 Mn |
| Dec 31, 2024 | 90.99 Mn |
| Sep 30, 2024 | 74.73 Mn |
| Jun 30, 2024 | 90.00 Mn |
| Mar 31, 2024 | 121.97 Mn |
| Dec 31, 2023 | 77.81 Mn |
| Sep 30, 2023 | 72.61 Mn |
| Jun 30, 2023 | 99.05 Mn |
| Mar 31, 2023 | 46.83 Mn |
| Dec 31, 2022 | 67.95 Mn |
| Sep 30, 2022 | 94.58 Mn |
| Jun 30, 2022 | 165.13 Mn |
| Mar 31, 2022 | 107.20 Mn |
| Dec 30, 2021 | 48.25 Mn |
| Sep 30, 2021 | 48.74 Mn |
Tim Prepaid Assets 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=prepaid-assets&ticker=TIMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();