Tim (TIMB) Total Debt (2019 - 2026)
Tim's Total Debt came in at $9.16 billion for the quarter ended Jun 30, 2026, up 14.3% from $8.01 billion a year earlier.
Analysis
Tim (TIMB) Total Debt (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Tim's Total Debt was $331.99 million, down 28.3% from the prior year.
- Total Debt has declined in each of the last four years, with a five-year compound annual growth rate of -6.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Debt was $462.8 million in the year ended Dec 30, 2024 (-8.5%), $505.74 million in the year ended Dec 30, 2023 (-28.2%), $704.25 million in the year ended Dec 30, 2022 (-2.9%) and $725.63 million in the year ended Dec 31, 2021 (+53.5%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Debt in data going back to the quarter ended Dec 31, 2019.
- Year-over-year, Total Debt increased in 1 of the last seven quarters, with an average decline of 12.5%.
- The fastest year-over-year change in Total Debt over five years came in the quarter ended Dec 30, 2021 (growth of 89.6%), and the weakest in the quarter ended Mar 31, 2023 (a decline of 93.5%).
- Business Quant data shows TIMB's Total Debt at $352.1 million (quarter ended Mar 31, 2026), $343.72 million (quarter ended Dec 31, 2025) and $348.67 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.66 Bn | 186.66 Bn | - | - |
| 2 | T-Mobile US | 167.65 Bn | 150.09 Bn | 15.13 Bn | 83.67 Bn |
| 3 | At&T | 145.86 Bn | 87.32 Bn | 26.22 Bn | 159.63 Bn |
| 4 | Grupo Televisa, S.A.B | 129.78 Bn | 121.51 Bn | 318.12 Mn | 4.70 Bn |
| 5 | Comcast | 82.44 Bn | 48.23 Bn | - | 87.40 Bn |
| 6 | Vodafone Group Public | 38.03 Bn | 7.43 Bn | - | 60.32 Bn |
| 7 | Chunghwa Telecom | 37.97 Bn | 29.99 Bn | 728.80 Mn | 184.96 Mn |
| 8 | EchoStar | 28.08 Bn | 19.17 Bn | 1.65 Bn | 17.43 Bn |
| 9 | Bce | 18.88 Bn | 17.00 Bn | 3.38 Bn | 29.40 Bn |
| 10 | Tim | 8.58 Bn | 4.29 Bn | 1.47 Bn | 297.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 297.23 Mn |
| Mar 31, 2026 | 352.03 Mn |
| Dec 31, 2025 | 507.42 Mn |
| Sep 30, 2025 | 356.98 Mn |
| Jun 30, 2025 | 338.26 Mn |
| Mar 31, 2025 | 463.58 Mn |
| Dec 31, 2024 | 491.35 Mn |
| Sep 30, 2024 | 502.84 Mn |
| Jun 30, 2024 | 493.98 Mn |
| Mar 31, 2024 | 496.04 Mn |
| Dec 31, 2023 | 777.48 Mn |
| Sep 30, 2023 | 508.46 Mn |
| Jun 30, 2023 | 539.38 Mn |
| Mar 31, 2023 | 491.63 Mn |
| Dec 31, 2022 | 940.44 Mn |
| Sep 30, 2022 | 856.57 Mn |
| Jun 30, 2022 | 886.89 Mn |
| Mar 31, 2022 | 677.76 Mn |
| Dec 30, 2021 | 579.90 Mn |
| Sep 30, 2021 | 532.05 Mn |
API Access
Tim Total Debt 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=total-debt&ticker=TIMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();