At&T (T) Return on Sales [ROS] (2009 - 2026)
At&T (T) posted Return on Sales [ROS] of 22.30% for Q2 2026, up 1.23 percentage points from 21.07% a year earlier and up 1.17 percentage points from the prior quarter.
At&T (T) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at At&T was 20.12%, up 4.24 percentage points year-over-year; for FY2025, it was 19.23%, up 3.66 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +13.38 percentage points (FY2020 to FY2025).
- In prior years, At&T's Return on Sales [ROS] was 15.57% in FY2024 (-3.59 pp), 19.16% in FY2023 (+22.96 pp), -3.80% in FY2022 (-23.12 pp) and 19.32% in FY2021 (+13.47 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q4 2013.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +0.79 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 83.75 percentage points; the weakest was Q4 2022, with a drop of 83.03 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 21.13% (Q1 2026), 17.30% (Q4 2025) and 19.93% (Q3 2025).
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 | Bce | 18.40 Bn | 16.72 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.30% |
| Mar 31, 2026 | 21.13% |
| Dec 31, 2025 | 17.30% |
| Sep 30, 2025 | 19.93% |
| Jun 30, 2025 | 21.07% |
| Mar 31, 2025 | 18.79% |
| Dec 31, 2024 | 16.49% |
| Sep 30, 2024 | 7.00% |
| Jun 30, 2024 | 19.33% |
| Mar 31, 2024 | 19.47% |
| Dec 31, 2023 | 16.46% |
| Sep 30, 2023 | 19.05% |
| Jun 30, 2023 | 21.41% |
| Mar 31, 2023 | 19.91% |
| Dec 31, 2022 | -67.29% |
| Sep 30, 2022 | 20.01% |
| Jun 30, 2022 | 16.72% |
| Mar 31, 2022 | 18.64% |
| Dec 31, 2021 | 15.74% |
| Sep 30, 2021 | 19.91% |
At&T 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=T&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "T", "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=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();