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 | 190.70 Bn | 155.11 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - |
| 10 | Tim | 8.54 Bn | 4.23 Bn | 1.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.92 Mn |
| Mar 31, 2026 | 141.83 Mn |
| Dec 31, 2025 | 63.11 Mn |
| Sep 30, 2025 | 81.49 Mn |
| Jun 30, 2025 | 60.10 Mn |
| Mar 31, 2025 | 112.49 Mn |
| Dec 30, 2024 | 48.45 Mn |
| Sep 30, 2024 | 73.22 Mn |
| Jun 30, 2024 | 95.21 Mn |
| Mar 31, 2024 | 123.68 Mn |
| Dec 30, 2023 | 48.17 Mn |
| Sep 30, 2023 | 74.89 Mn |
| Jun 30, 2023 | 97.12 Mn |
| Mar 31, 2023 | 45.92 Mn |
| Dec 30, 2022 | 53.01 Mn |
| Sep 30, 2022 | 97.42 Mn |
| Jun 30, 2022 | 174.60 Mn |
| Mar 31, 2022 | 97.83 Mn |
| Dec 30, 2021 | 49.33 Mn |
| Sep 30, 2021 | 50.59 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();