Agilysys (AGYS) Total Current Liabilities (2011 - 2026)
Agilysys (AGYS) reported Total Current Liabilities of $104.78 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.4% from $97.55 million a year earlier but down 16.2% from the prior quarter.
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Analysis
Agilysys (AGYS) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agilysys posted Total Current Liabilities of $125.11 million, up 12.7% from FY2025.
- Total Current Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 15.4% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $111.02 million in FY2025 (+24.2%), $89.37 million in FY2024 (+13.8%), $78.52 million in FY2023 (+9.9%) and $71.47 million in FY2022 (+16.9%).
- Five-year quarterly Total Current Liabilities spans a low of $52.2 million in fiscal Q2 2022 and a high of $129.9 million in fiscal Q3 2026.
- Year over year, Total Current Liabilities has now increased in each of the last 21 quarters, with growth averaging 17.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 0.9% (fiscal Q2 2026) to 31.9% (fiscal Q2 2025).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $125.11 million (Q4 2026), $129.9 million (Q3 2026) and $96.75 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 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 | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 104.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.78 Mn |
| Mar 31, 2026 | 125.11 Mn |
| Dec 31, 2025 | 129.90 Mn |
| Sep 30, 2025 | 96.75 Mn |
| Jun 30, 2025 | 97.55 Mn |
| Mar 31, 2025 | 111.02 Mn |
| Dec 31, 2024 | 114.95 Mn |
| Sep 30, 2024 | 95.89 Mn |
| Jun 30, 2024 | 77.40 Mn |
| Mar 31, 2024 | 89.37 Mn |
| Dec 31, 2023 | 91.21 Mn |
| Sep 30, 2023 | 72.71 Mn |
| Jun 30, 2023 | 73.89 Mn |
| Mar 31, 2023 | 78.52 Mn |
| Dec 31, 2022 | 81.13 Mn |
| Sep 30, 2022 | 62.05 Mn |
| Jun 30, 2022 | 62.78 Mn |
| Mar 31, 2022 | 71.47 Mn |
| Dec 31, 2021 | 64.15 Mn |
| Sep 30, 2021 | 52.20 Mn |
API Access
Agilysys Total 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-current-liabilities&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();