Tim (TIMB) Receivables (2019 - 2026)
Tim's Receivables was $60.3 million in the quarter ended Jun 30, 2026, up 148.6% from $24.25 million a year earlier and up 156.2% from the prior quarter.
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Analysis
Tim (TIMB) Receivables (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at Tim came in at $902.77 million.
- Receivables shows a five-year compound annual growth rate of 7.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $23.74 million in the year ended Dec 30, 2024 (-41.0%), $40.2 million in the year ended Dec 30, 2023 (-11.4%), $45.37 million in the year ended Dec 30, 2022 (-92.5%) and $604.13 million in the year ended Dec 31, 2021 (-3.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Receivables since the quarter ended Dec 31, 2019.
- Compared with a year earlier, Receivables was higher in two of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Receivables over five years was the quarter ended Jun 30, 2026 (growth of 148.6%); the worst was the quarter ended Sep 30, 2024 (a decline of 51.6%).
- Per Business Quant data, TIMB's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $23.54 million (quarter ended Mar 31, 2026), $25.47 million (quarter ended Dec 31, 2025) and $21.74 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 27.43 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 6.25 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 12.91 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 874.30 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 13.96 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 1.10 Bn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 905.61 Mn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 90.20 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 3.41 Bn |
| 10 | Tim | 8.54 Bn | 4.23 Bn | 1.47 Bn | 60.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.30 Mn |
| Mar 31, 2026 | 23.54 Mn |
| Dec 31, 2025 | 25.47 Mn |
| Sep 30, 2025 | 21.74 Mn |
| Jun 30, 2025 | 24.25 Mn |
| Mar 31, 2025 | 24.86 Mn |
| Dec 30, 2024 | 23.74 Mn |
| Sep 30, 2024 | 23.02 Mn |
| Jun 30, 2024 | 32.35 Mn |
| Mar 31, 2024 | 38.34 Mn |
| Dec 30, 2023 | 40.20 Mn |
| Sep 30, 2023 | 47.53 Mn |
| Jun 30, 2023 | 47.72 Mn |
| Mar 31, 2023 | 38.32 Mn |
| Dec 30, 2022 | 45.37 Mn |
| Sep 30, 2022 | 44.63 Mn |
| Jun 30, 2022 | 48.75 Mn |
| Mar 31, 2022 | 33.05 Mn |
| Dec 30, 2021 | 33.40 Mn |
| Sep 30, 2021 | 25.50 Mn |
API Access
Tim Receivables 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=receivables&ticker=TIMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();