Tim (TIMB) Operating Leases (2019 - 2026)
Tim (TIMB) reported Operating Leases of $39.26 million for the quarter ended Jun 30, 2026, up 11.0% from $35.35 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Tim (TIMB) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Tim posted Operating Leases of $35.86 million, up 0.7% from the prior year.
- Operating Leases has a five-year compound annual growth rate of -29.6% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $35.59 million in the year ended Dec 30, 2024 (-14.6%), $41.7 million in the year ended Dec 30, 2023 (+5.5%), $39.54 million in the year ended Dec 30, 2022 (-83.2%) and $235.82 million in the year ended Dec 31, 2021 (+13.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Operating Leases since the quarter ended Jun 30, 2024.
- Year over year, Operating Leases has now increased in each of the last four quarters, with an average decline of 4.1% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was the quarter ended Dec 30, 2021 (growth of 31.6%); the low point was the quarter ended Mar 31, 2025 (a decline of 19.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $37.31 million (quarter ended Mar 31, 2026), $37.12 million (quarter ended Dec 31, 2025) and $37.83 million (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.26 Mn |
| Mar 31, 2026 | 37.31 Mn |
| Dec 31, 2025 | 37.12 Mn |
| Sep 30, 2025 | 37.83 Mn |
| Jun 30, 2025 | 35.35 Mn |
| Mar 31, 2025 | 34.03 Mn |
| Dec 30, 2024 | 35.59 Mn |
| Sep 30, 2024 | 37.50 Mn |
| Jun 30, 2024 | 40.10 Mn |
| Mar 31, 2024 | 42.32 Mn |
| Dec 30, 2023 | 41.70 Mn |
| Sep 30, 2023 | 43.04 Mn |
| Jun 30, 2023 | 41.95 Mn |
| Mar 31, 2023 | 39.76 Mn |
| Dec 30, 2022 | 39.54 Mn |
| Sep 30, 2022 | 40.85 Mn |
| Jun 30, 2022 | 44.91 Mn |
| Mar 31, 2022 | 40.09 Mn |
| Dec 30, 2021 | 38.19 Mn |
| Sep 30, 2021 | 40.56 Mn |
API Access
Tim Operating Leases 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=operating-leases&ticker=TIMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();