Agilysys (AGYS) Total Non-Current Liabilities (2011 - 2026)
Agilysys' Total Non-Current Liabilities was $127.84 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.9% from $137.39 million a year earlier and down 14.2% from the prior quarter.
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Analysis
Agilysys (AGYS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Non-Current Liabilities at Agilysys came in at $148.98 million, down 8.8% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $163.31 million in FY2025 (+49.1%), $109.54 million in FY2024 (-15.6%), $129.71 million in FY2023 (+14.3%) and $113.51 million in FY2022 (+6.9%).
- Quarterly Total Non-Current Liabilities has moved between $95.93 million (fiscal Q2 2022) and $181.96 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for four straight quarters, with growth averaging 15.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2025 (growth of 61.8%); the worst was fiscal Q2 2026 (a decline of 30.3%).
- Per Business Quant data, AGYS's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $148.98 million (Q4 2026), $156.28 million (Q3 2026) and $123.27 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 127.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.84 Mn |
| Mar 31, 2026 | 148.98 Mn |
| Dec 31, 2025 | 156.28 Mn |
| Sep 30, 2025 | 123.27 Mn |
| Jun 30, 2025 | 137.39 Mn |
| Mar 31, 2025 | 163.31 Mn |
| Dec 31, 2024 | 181.96 Mn |
| Sep 30, 2024 | 176.82 Mn |
| Jun 30, 2024 | 96.86 Mn |
| Mar 31, 2024 | 109.54 Mn |
| Dec 31, 2023 | 112.44 Mn |
| Sep 30, 2023 | 133.74 Mn |
| Jun 30, 2023 | 135.34 Mn |
| Mar 31, 2023 | 129.71 Mn |
| Dec 31, 2022 | 130.32 Mn |
| Sep 30, 2022 | 110.34 Mn |
| Jun 30, 2022 | 103.69 Mn |
| Mar 31, 2022 | 113.51 Mn |
| Dec 31, 2021 | 106.28 Mn |
| Sep 30, 2021 | 95.93 Mn |
API Access
Agilysys 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=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();