Agilysys (AGYS) Total Liabilities (2011 - 2026)
Agilysys' Total Liabilities was $137.75 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 6.9% from $128.82 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Agilysys (AGYS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Agilysys came in at $154.74 million, down 8.2% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $168.48 million in FY2025 (+47.9%), $113.95 million in FY2024 (-14.8%), $133.73 million in FY2023 (+14.5%) and $116.82 million in FY2022 (+6.2%).
- Quarterly Total Liabilities has moved between $101.53 million (fiscal Q1 2025) and $187.07 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with growth averaging 12.5%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2025 (growth of 60.7%); the worst was fiscal Q2 2026 (a decline of 29.1%).
- Per Business Quant data, AGYS's Total Liabilities in the three fiscal quarters before Q2 2027 was $134.52 million (Q1 2027), $154.74 million (Q4 2026) and $162.06 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.09 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 550.07 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.29 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.56 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.27 Bn |
| 10 | Agilysys | 3.40 Bn | 2.94 Bn | 60.31 Mn | 137.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 137.75 Mn |
| Jun 30, 2026 | 134.52 Mn |
| Mar 31, 2026 | 154.74 Mn |
| Dec 31, 2025 | 162.06 Mn |
| Sep 30, 2025 | 128.82 Mn |
| Jun 30, 2025 | 142.83 Mn |
| Mar 31, 2025 | 168.48 Mn |
| Dec 31, 2024 | 187.07 Mn |
| Sep 30, 2024 | 181.75 Mn |
| Jun 30, 2024 | 101.53 Mn |
| Mar 31, 2024 | 113.95 Mn |
| Dec 31, 2023 | 116.39 Mn |
| Sep 30, 2023 | 138.60 Mn |
| Jun 30, 2023 | 139.66 Mn |
| Mar 31, 2023 | 133.73 Mn |
| Dec 31, 2022 | 134.25 Mn |
| Sep 30, 2022 | 114.17 Mn |
| Jun 30, 2022 | 107.48 Mn |
| Mar 31, 2022 | 116.82 Mn |
| Dec 31, 2021 | 109.93 Mn |
API Access
Agilysys 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=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AGYS", "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=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();