Tim (TIMB) Return on Sales [ROS] (2019 - 2026)
Tim (TIMB) recorded Return on Sales [ROS] of 84.40% in the quarter ended Jun 30, 2026, up 62.54 percentage points from 21.86% a year earlier and up 1.92 percentage points from the prior quarter.
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Analysis
Tim (TIMB) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Tim reported Return on Sales [ROS] of 23.83%.
- Annual Return on Sales [ROS] has a five-year change of +7.59 percentage points (years ended Dec 2020 to Dec 2025).
- Across earlier years, Return on Sales [ROS] came in at 20.80% in the year ended Dec 31, 2021 (+4.57 pp).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Return on Sales [ROS] since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last six quarters, with an average year-over-year change of +10.14 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 62.54 percentage points in the quarter ended Jun 30, 2026, against a drop of 258.80 percentage points in the quarter ended Mar 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 82.48% (quarter ended Mar 31, 2026), 54.07% (quarter ended Dec 31, 2025) and 83.79% (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 20.96% |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 24.09% |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 22.30% |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 11.00% |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 17.23% |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 21.61% |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 14.34% |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | -1,018.86% |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 16.48% |
| 10 | Tim | 8.53 Bn | 4.23 Bn | 1.47 Bn | 84.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.40% |
| Mar 31, 2026 | 82.48% |
| Dec 31, 2025 | 54.07% |
| Sep 30, 2025 | 83.79% |
| Jun 30, 2025 | 21.86% |
| Mar 31, 2025 | 83.32% |
| Sep 30, 2024 | 85.35% |
| Jun 30, 2024 | 20.06% |
| Mar 31, 2024 | 84.86% |
| Sep 30, 2023 | 84.94% |
| Jun 30, 2023 | 15.81% |
| Mar 31, 2023 | 86.34% |
| Sep 30, 2022 | 86.91% |
| Jun 30, 2022 | 14.14% |
| Mar 31, 2022 | 345.14% |
| Sep 30, 2021 | 167.64% |
| Jun 30, 2021 | 110.94% |
| Mar 31, 2021 | 13.65% |
| Sep 30, 2020 | 14.62% |
| Jun 30, 2020 | 14.11% |
API Access
Tim Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TIMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TIMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();