Aeries Technology (AERT) Total Liabilities (2021 - 2026)
Aeries Technology's Total Liabilities came in at $43.99 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.6% from $43.31 million a year earlier but down 2.1% from the prior quarter.
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Analysis
Aeries Technology (AERT) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Aeries Technology's Total Liabilities was $44.93 million, down 2.1% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -29.2% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $45.9 million in FY2025 (-10.6%), $51.32 million in FY2024 (+145.2%), $20.93 million in FY2023 and $223.77 million in FY2022 (-11.7%).
- The five-year range for quarterly Total Liabilities is $20.93 million (fiscal Q4 2023) to $89.78 million (fiscal Q3 2024).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 5.7%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2024 (growth of 145.2%), and the weakest in fiscal Q3 2025 (a decline of 44.2%).
- Business Quant data shows AERT's Total Liabilities at $44.93 million (Q4 2026), $43.17 million (Q3 2026) and $43.46 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Aeries Technology | 36.29 Mn | 20.91 Mn | 6.38 Mn | 43.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.99 Mn |
| Mar 31, 2026 | 44.93 Mn |
| Dec 31, 2025 | 43.17 Mn |
| Sep 30, 2025 | 43.46 Mn |
| Jun 30, 2025 | 43.31 Mn |
| Mar 31, 2025 | 45.90 Mn |
| Dec 31, 2024 | 50.06 Mn |
| Sep 30, 2024 | 53.96 Mn |
| Jun 30, 2024 | 51.58 Mn |
| Mar 31, 2024 | 51.32 Mn |
| Dec 31, 2023 | 89.78 Mn |
| Sep 30, 2023 | 33.96 Mn |
| Jun 30, 2023 | 34.47 Mn |
| Mar 31, 2023 | 20.93 Mn |
| Dec 31, 2022 | 223.77 Mn |
| Sep 30, 2022 | 223.70 Mn |
| Jun 30, 2022 | 223.42 Mn |
| Mar 31, 2022 | 224.61 Mn |
| Dec 31, 2021 | 253.33 Mn |
API Access
Aeries Technology Total Liabilities 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=total-liabilities&ticker=AERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();