Agilysys (AGYS) Assets (2011 - 2026)
Agilysys' Assets was $472.85 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 11.0% from $426.05 million a year earlier but down 1.8% from the prior quarter.
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Analysis
Agilysys (AGYS) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Assets at Agilysys came in at $481.53 million, up 10.9% from FY2025.
- Assets has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 20.5% (FY2021 to FY2026).
- In earlier fiscal years, Assets was $434.37 million in FY2025 (+24.0%), $350.43 million in FY2024 (+44.2%), $243.04 million in FY2023 (+13.5%) and $214.16 million in FY2022 (+12.8%).
- Quarterly Assets has moved between $188.1 million (fiscal Q2 2022) and $481.53 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Assets has increased for three straight quarters, with growth averaging 21.3% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was fiscal Q2 2025 (growth of 73.2%); the worst was fiscal Q2 2026 (a decline of 3.7%).
- Per Business Quant data, AGYS's Assets in the three fiscal quarters before Q1 2027 was $481.53 million (Q4 2026), $475.18 million (Q3 2026) and $425.57 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | 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 | 9.06 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.77 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 3.18 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 6.51 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.54 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 2.07 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 698.65 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 10.14 Bn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 472.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 472.85 Mn |
| Mar 31, 2026 | 481.53 Mn |
| Dec 31, 2025 | 475.18 Mn |
| Sep 30, 2025 | 425.57 Mn |
| Jun 30, 2025 | 426.05 Mn |
| Mar 31, 2025 | 434.37 Mn |
| Dec 31, 2024 | 443.86 Mn |
| Sep 30, 2024 | 442.01 Mn |
| Jun 30, 2024 | 355.70 Mn |
| Mar 31, 2024 | 350.43 Mn |
| Dec 31, 2023 | 346.66 Mn |
| Sep 30, 2023 | 255.21 Mn |
| Jun 30, 2023 | 251.35 Mn |
| Mar 31, 2023 | 243.04 Mn |
| Dec 31, 2022 | 246.16 Mn |
| Sep 30, 2022 | 220.77 Mn |
| Jun 30, 2022 | 208.76 Mn |
| Mar 31, 2022 | 214.16 Mn |
| Dec 31, 2021 | 202.34 Mn |
| Sep 30, 2021 | 188.10 Mn |
API Access
Agilysys 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=assets&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();