Aeries Technology (AERT) Operating Expenses (2022 - 2026)
Aeries Technology's Operating Expenses was $3.02 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.1% from $2.96 million a year earlier but down 28.4% from the prior quarter.
Powered by 
Analysis
Aeries Technology (AERT) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aeries Technology's Operating Expenses was $12.84 million through Jun 30, 2026, down 54.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $12.78 million, down 71.9% from FY2025.
- Operating Expenses shows a four-year compound annual growth rate of 12.8% (FY2022 to FY2026).
- In earlier fiscal years, Operating Expenses was $45.49 million in FY2025 (+143.9%), $18.65 million in FY2024 (+64.7%), $11.33 million in FY2023 and $7.9 million in FY2022.
- Quarterly Operating Expenses has moved between $2.27 million (fiscal Q4 2023) and $20.43 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with an average decline of 4.0%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2025 (growth of 456.7%); the worst was fiscal Q1 2026 (a decline of 85.5%).
- Per Business Quant data, AERT's Operating Expenses in the three fiscal quarters before Q1 2027 was $4.22 million (Q4 2026), $2.57 million (Q3 2026) and $3.04 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Aeries Technology | 40.74 Mn | 26.12 Mn | 6.38 Mn | 3.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.02 Mn |
| Mar 31, 2026 | 4.22 Mn |
| Dec 31, 2025 | 2.57 Mn |
| Sep 30, 2025 | 3.04 Mn |
| Jun 30, 2025 | 2.96 Mn |
| Mar 31, 2025 | 8.19 Mn |
| Dec 31, 2024 | 9.20 Mn |
| Sep 30, 2024 | 7.67 Mn |
| Jun 30, 2024 | 20.43 Mn |
| Mar 31, 2024 | 6.33 Mn |
| Dec 31, 2023 | 5.31 Mn |
| Sep 30, 2023 | 3.34 Mn |
| Jun 30, 2023 | 3.67 Mn |
| Mar 31, 2023 | 2.27 Mn |
| Dec 31, 2022 | 2.03 Mn |
| Sep 30, 2022 | 1.44 Mn |
| Jun 30, 2022 | 294,683.00 |
| Mar 31, 2022 | 362,637.00 |
API Access
Aeries Technology Operating Expenses 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=operating-expenses&ticker=AERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();