Tim (TIMB) Inventory (2019 - 2026)
Tim's Inventory was $84.47 million in the quarter ended Jun 30, 2026, up 33.9% from $63.1 million a year earlier and up 14.7% from the prior quarter.
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Analysis
Tim (TIMB) Inventory (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Inventory at Tim came in at $63.99 million, up 26.6% from the prior year.
- Inventory shows a five-year compound annual growth rate of 5.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Inventory was $50.55 million in the year ended Dec 30, 2024 (-24.6%), $67.02 million in the year ended Dec 30, 2023 (+49.3%), $44.88 million in the year ended Dec 30, 2022 (+19.3%) and $37.61 million in the year ended Dec 31, 2021 (-22.3%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Inventory since the quarter ended Sep 30, 2023.
- Compared with a year earlier, Inventory has increased for three straight quarters, with an average decline of 0.8% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was the quarter ended Sep 30, 2023 (growth of 60.4%); the worst was the quarter ended Mar 31, 2025 (a decline of 31.3%).
- Per Business Quant data, TIMB's Inventory in the three quarters before the quarter ended Jun 30, 2026 was $73.62 million (quarter ended Mar 31, 2026), $66.26 million (quarter ended Dec 31, 2025) and $64.87 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.66 Bn | 186.66 Bn | - | 2.78 Bn |
| 2 | T-Mobile US | 167.65 Bn | 150.09 Bn | 15.13 Bn | 3.09 Bn |
| 3 | At&T | 145.86 Bn | 87.32 Bn | 26.22 Bn | 2.89 Bn |
| 4 | Grupo Televisa, S.A.B | 129.78 Bn | 121.51 Bn | 318.12 Mn | 31.29 Mn |
| 5 | Comcast | 82.44 Bn | 48.23 Bn | - | - |
| 6 | Vodafone Group Public | 38.03 Bn | 7.43 Bn | - | 683.02 Mn |
| 7 | Chunghwa Telecom | 37.97 Bn | 29.99 Bn | 728.80 Mn | 552.35 Mn |
| 8 | EchoStar | 28.08 Bn | 19.17 Bn | 1.65 Bn | 322.39 Mn |
| 9 | Bce | 18.88 Bn | 17.00 Bn | 3.38 Bn | 316.00 Mn |
| 10 | Tim | 8.58 Bn | 4.29 Bn | 1.47 Bn | 82.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.50 Mn |
| Mar 31, 2026 | 73.61 Mn |
| Dec 31, 2025 | 65.23 Mn |
| Sep 30, 2025 | 66.42 Mn |
| Jun 30, 2025 | 65.20 Mn |
| Mar 31, 2025 | 57.23 Mn |
| Dec 31, 2024 | 47.51 Mn |
| Sep 30, 2024 | 70.36 Mn |
| Jun 30, 2024 | 75.61 Mn |
| Mar 31, 2024 | 80.71 Mn |
| Dec 31, 2023 | 68.41 Mn |
| Sep 30, 2023 | 82.53 Mn |
| Jun 30, 2023 | 77.11 Mn |
| Mar 31, 2023 | 65.15 Mn |
| Dec 31, 2022 | 44.68 Mn |
| Sep 30, 2022 | 51.51 Mn |
| Jun 30, 2022 | 54.07 Mn |
| Mar 31, 2022 | 46.61 Mn |
| Dec 30, 2021 | 35.52 Mn |
| Sep 30, 2021 | 42.69 Mn |
API Access
Tim Inventory 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=inventory&ticker=TIMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();