Aeries Technology (AERT) Return on Sales [ROS] (2022 - 2026)
Aeries Technology (AERT) posted Return on Sales [ROS] of 15.33% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.98 percentage points from 5.35% a year earlier and up 10.60 percentage points from the prior quarter.
Aeries Technology (AERT) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Aeries Technology was 9.21%, up 25.96 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 6.45%, up 47.44 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a three-year change of +2.06 percentage points (FY2023 to FY2026).
- In prior fiscal years, Aeries Technology's Return on Sales [ROS] was -40.98% in FY2025 (-45.10 pp), 4.12% in FY2024 (-0.27 pp) and 4.39% in FY2023.
- The fiscal Q1 2027 figure stands as the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2024.
- 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 +20.13 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2026, with a gain of 103.87 percentage points; the weakest was fiscal Q1 2025, with a drop of 75.57 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 4.73% (Q4 2026), 4.42% (Q3 2026) and 11.43% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 18.41% |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 7.76% |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 18.38% |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 22.59% |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 4.26% |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Aeries Technology | 31.71 Mn | 17.09 Mn | 6.38 Mn | 15.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.33% |
| Mar 31, 2026 | 4.73% |
| Dec 31, 2025 | 4.42% |
| Sep 30, 2025 | 11.43% |
| Jun 30, 2025 | 5.35% |
| Mar 31, 2025 | -16.26% |
| Dec 31, 2024 | -29.29% |
| Sep 30, 2024 | -24.27% |
| Jun 30, 2024 | -98.52% |
| Mar 31, 2024 | -0.05% |
| Dec 31, 2023 | 3.88% |
| Sep 30, 2023 | 8.45% |
| Jun 30, 2023 | 4.76% |
| Dec 31, 2022 | 366.25% |
Aeries Technology 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=AERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AERT", "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=AERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();