Aeries Technology (AERT) Total Non-Current Liabilities (2021 - 2026)
Aeries Technology (AERT) recorded Total Non-Current Liabilities of $37.59 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.6% from $38.99 million a year earlier and down 3.4% from the prior quarter.
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Analysis
Aeries Technology (AERT) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Aeries Technology reported Total Non-Current Liabilities of $38.91 million, down 6.7% from FY2025.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -30.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $41.73 million in FY2025 (-11.9%), $47.37 million in FY2024 (+164.4%), $17.92 million in FY2023 and $223.16 million in FY2022 (-7.4%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2024.
- On a year-over-year basis, Total Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 9.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 164.4% in fiscal Q4 2024, against a decline of 46.9% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $38.91 million (Q4 2026), $38.02 million (Q3 2026) and $39.39 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 6.26 Bn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 1.79 Bn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 1.41 Bn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 9.92 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | -6.00 Mn |
| 10 | Aeries Technology | 36.29 Mn | 20.91 Mn | 6.38 Mn | 37.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.17 Mn |
| Mar 31, 2026 | 38.49 Mn |
| Dec 31, 2025 | 37.23 Mn |
| Sep 30, 2025 | 38.55 Mn |
| Jun 30, 2025 | 38.39 Mn |
| Mar 31, 2025 | 41.09 Mn |
| Dec 31, 2024 | 44.88 Mn |
| Sep 30, 2024 | 48.76 Mn |
| Jun 30, 2024 | 46.74 Mn |
| Mar 31, 2024 | 47.37 Mn |
| Dec 31, 2023 | 83.94 Mn |
| Sep 30, 2023 | 32.96 Mn |
| Jun 30, 2023 | 34.02 Mn |
| Mar 31, 2023 | 17.92 Mn |
| Dec 31, 2022 | 223.16 Mn |
| Sep 30, 2022 | 221.87 Mn |
| Jun 30, 2022 | 221.65 Mn |
| Mar 31, 2022 | 216.45 Mn |
| Dec 31, 2021 | 241.09 Mn |
API Access
Aeries Technology Total Non-Current 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-non-current-liabilities&ticker=AERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();