Aeries Technology (AERT) Return on Capital Employed [ROCE] (2022 - 2026)
Aeries Technology's Return on Capital Employed [ROCE] was 58.30% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 192.08 percentage points from -133.77% a year earlier and up 18.16 percentage points from the prior quarter.
Aeries Technology (AERT) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Return on Capital Employed [ROCE] at Aeries Technology came in at 44.41%, up 280.22 percentage points from FY2025.
- Return on Capital Employed [ROCE] shows a four-year change of +46.34 percentage points (FY2022 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was -235.82% in FY2025 (-314.90 pp), 79.08% in FY2024 (+77.18 pp), 1.91% in FY2023 and -1.94% in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q4 2023.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for five straight quarters, with an average year-over-year change of +71.32 percentage points over the last seven quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2026 (a gain of 264.27 percentage points); the worst was fiscal Q1 2025 (a drop of 157.86 percentage points).
- Per Business Quant data, AERT's Return on Capital Employed [ROCE] in the three fiscal quarters before Q1 2027 was 40.15% (Q4 2026), 3.79% (Q3 2026) and -51.03% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.60 Bn | 116.88 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 89.52 Bn | 88.60 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.94 Bn | 32.13 Bn | 1.07 Bn | 7.54% |
| 4 | Rollins | 16.91 Bn | 16.45 Bn | 569.95 Mn | 31.56% |
| 5 | APi | 16.76 Bn | 13.80 Bn | 703.00 Mn | 8.75% |
| 6 | Gartner | 15.49 Bn | 9.18 Bn | 1.19 Bn | 29.65% |
| 7 | UL Solutions | 14.82 Bn | 13.57 Bn | 417.00 Mn | 25.89% |
| 8 | Aramark | 13.80 Bn | 11.74 Bn | 430.34 Mn | 7.98% |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | - |
| 10 | Aeries Technology | 33.20 Mn | 17.81 Mn | 6.38 Mn | 58.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.30% |
| Mar 31, 2026 | 40.15% |
| Dec 31, 2025 | 3.79% |
| Sep 30, 2025 | -51.03% |
| Jun 30, 2025 | -133.77% |
| Mar 31, 2025 | -224.12% |
| Dec 31, 2024 | -157.45% |
| Sep 30, 2024 | -156.56% |
| Jun 30, 2024 | -120.84% |
| Mar 31, 2024 | 30.07% |
| Sep 30, 2023 | 0.70% |
| Jun 30, 2023 | -7.77% |
| Mar 31, 2023 | -3.04% |
| Dec 31, 2022 | -0.78% |
Aeries Technology Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AERT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();