Aeries Technology (AERT) EPS (Diluted) (2022 - 2026)
Aeries Technology's EPS (Diluted) was $0.27 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.6% from $0.26 a year earlier.
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Analysis
Aeries Technology (AERT) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aeries Technology's EPS (Diluted) was $0.43 through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at $0.42.
- In earlier fiscal years, EPS (Diluted) was -$3.66 in FY2025, $8.06 in FY2024, $0.50 in FY2023 and $0.19 in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly EPS (Diluted) since fiscal Q3 2025.
- Per Business Quant data, AERT's EPS (Diluted) in the three fiscal quarters before Q1 2027 was -$0.05 (Q4 2026), $0.18 (Q3 2026) and $0.04 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.03 Bn | 116.31 Bn | 6.13 Bn | 3.80 |
| 2 | Cintas | 89.74 Bn | 88.82 Bn | 1.55 Bn | 1.36 |
| 3 | Iron Mountain | 32.93 Bn | 32.12 Bn | 1.07 Bn | 0.34 |
| 4 | Rollins | 16.92 Bn | 16.46 Bn | 569.95 Mn | 0.30 |
| 5 | APi | 16.73 Bn | 13.76 Bn | 703.00 Mn | 0.20 |
| 6 | Gartner | 15.47 Bn | 9.16 Bn | 1.19 Bn | 4.14 |
| 7 | UL Solutions | 14.81 Bn | 13.57 Bn | 417.00 Mn | 1.21 |
| 8 | Aramark | 13.78 Bn | 11.72 Bn | 430.34 Mn | 0.36 |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | - |
| 10 | Aeries Technology | 32.24 Mn | 16.86 Mn | 6.38 Mn | 0.27 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.27 |
| Mar 31, 2026 | -0.05 |
| Dec 31, 2025 | 0.18 |
| Sep 30, 2025 | 0.04 |
| Jun 30, 2025 | 0.26 |
| Mar 31, 2025 | -1.07 |
| Dec 31, 2024 | 0.55 |
| Sep 30, 2024 | -0.39 |
| Jun 30, 2024 | -3.13 |
| Mar 31, 2024 | 15.88 |
| Dec 31, 2023 | 8.53 |
| Sep 30, 2023 | 0.50 |
| Jun 30, 2023 | 0.26 |
| Mar 31, 2023 | -0.53 |
| Dec 31, 2022 | -0.08 |
| Sep 30, 2022 | -0.06 |
| Jun 30, 2022 | 0.19 |
| Mar 31, 2022 | 1.32 |
API Access
Aeries Technology EPS (Diluted) 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=eps-diluted&ticker=AERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=AERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();