Agilysys (AGYS) Current Assets (2011 - 2026)
Agilysys' Current Assets was $182.4 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 68.1% from $108.53 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Agilysys (AGYS) Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Current Assets at Agilysys came in at $184.13 million, up 49.1% from FY2025.
- Current Assets shows a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- In earlier fiscal years, Current Assets was $123.53 million in FY2025 (-34.6%), $188.94 million in FY2024 (+22.2%), $154.66 million in FY2023 (+13.6%) and $136.17 million in FY2022 (+2.2%).
- Quarterly Current Assets has moved between $108.53 million (fiscal Q1 2026) and $188.94 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Current Assets has increased for four straight quarters, with growth averaging 2.6% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was fiscal Q1 2027 (growth of 68.1%); the worst was fiscal Q1 2026 (a decline of 41.9%).
- Per Business Quant data, AGYS's Current Assets in the three fiscal quarters before Q1 2027 was $184.13 million (Q4 2026), $169.77 million (Q3 2026) and $117.96 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 7.95 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.57 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 2.65 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.37 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.34 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.57 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 467.06 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.65 Bn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 182.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.40 Mn |
| Mar 31, 2026 | 184.13 Mn |
| Dec 31, 2025 | 169.77 Mn |
| Sep 30, 2025 | 117.96 Mn |
| Jun 30, 2025 | 108.53 Mn |
| Mar 31, 2025 | 123.53 Mn |
| Dec 31, 2024 | 131.21 Mn |
| Sep 30, 2024 | 108.70 Mn |
| Jun 30, 2024 | 186.77 Mn |
| Mar 31, 2024 | 188.94 Mn |
| Dec 31, 2023 | 183.69 Mn |
| Sep 30, 2023 | 153.41 Mn |
| Jun 30, 2023 | 149.44 Mn |
| Mar 31, 2023 | 154.66 Mn |
| Dec 31, 2022 | 159.08 Mn |
| Sep 30, 2022 | 136.43 Mn |
| Jun 30, 2022 | 132.14 Mn |
| Mar 31, 2022 | 136.17 Mn |
| Dec 31, 2021 | 149.61 Mn |
| Sep 30, 2021 | 134.22 Mn |
API Access
Agilysys Current Assets 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=current-assets&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();