Tim (TIMB) Cash & Equivalents (2019 - 2026)
Tim's Cash & Equivalents was $528.99 million in the quarter ended Jun 30, 2026, down 17.0% from $637.72 million a year earlier and down 30.8% from the prior quarter.
Tim (TIMB) Cash & Equivalents (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Cash & Equivalents at Tim came in at $646.8 million, up 15.2% from the prior year.
- Cash & Equivalents shows a five-year compound annual growth rate of 5.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Cash & Equivalents was $561.24 million in the year ended Dec 30, 2024 (-9.7%), $621.73 million in the year ended Dec 30, 2023 (+28.3%), $484.48 million in the year ended Dec 30, 2022 (-50.1%) and $970.97 million in the year ended Dec 31, 2021 (+92.1%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Cash & Equivalents since the quarter ended Mar 31, 2025.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 6.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was the quarter ended Jun 30, 2023 (growth of 153.2%); the worst was the quarter ended Sep 30, 2024 (a decline of 44.2%).
- Per Business Quant data, TIMB's Cash & Equivalents in the three quarters before the quarter ended Jun 30, 2026 was $764.16 million (quarter ended Mar 31, 2026), $669.66 million (quarter ended Dec 31, 2025) and $674.22 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 4.50 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 5.62 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 10.77 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 7.60 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 1.32 Bn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | 10.31 Bn |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 13.44 Bn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 458.03 Mn |
| 10 | Tim | 8.75 Bn | 4.46 Bn | 1.47 Bn | 516.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 516.69 Mn |
| Mar 31, 2026 | 764.01 Mn |
| Dec 31, 2025 | 659.28 Mn |
| Sep 30, 2025 | 690.29 Mn |
| Jun 30, 2025 | 659.01 Mn |
| Mar 31, 2025 | 493.28 Mn |
| Dec 31, 2024 | 527.48 Mn |
| Sep 30, 2024 | 420.99 Mn |
| Jun 30, 2024 | 383.81 Mn |
| Mar 31, 2024 | 395.82 Mn |
| Dec 31, 2023 | 634.60 Mn |
| Sep 30, 2023 | 717.06 Mn |
| Jun 30, 2023 | 631.64 Mn |
| Mar 31, 2023 | 604.38 Mn |
| Dec 31, 2022 | 482.29 Mn |
| Sep 30, 2022 | 425.40 Mn |
| Jun 30, 2022 | 231.35 Mn |
| Mar 31, 2022 | 839.23 Mn |
| Dec 30, 2021 | 916.87 Mn |
| Sep 30, 2021 | 751.27 Mn |
Tim Cash & Equivalents 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=cash-and-equivalents&ticker=TIMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();