Agilysys (AGYS) Prepaid Assets (2011 - 2026)
Agilysys' Prepaid Assets was $9.45 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 26.5% from $7.47 million a year earlier but down 22.6% from the prior quarter.
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Analysis
Agilysys (AGYS) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Prepaid Assets at Agilysys came in at $12.2 million, up 31.8% from FY2025.
- Prepaid Assets has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 20.5% (FY2021 to FY2026).
- In earlier fiscal years, Prepaid Assets was $9.26 million in FY2025 (+19.8%), $7.73 million in FY2024 (+4.2%), $7.42 million in FY2023 (+37.0%) and $5.42 million in FY2022 (+12.9%).
- Quarterly Prepaid Assets has moved between $4.44 million (fiscal Q1 2023) and $13.41 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Prepaid Assets has increased for three straight quarters, with growth averaging 21.4% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q3 2023 (growth of 81.3%); the worst was fiscal Q2 2026 (a decline of 10.2%).
- Per Business Quant data, AGYS's Prepaid Assets in the three fiscal quarters before Q1 2027 was $12.2 million (Q4 2026), $13.41 million (Q3 2026) and $10.07 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.45 Mn |
| Mar 31, 2026 | 12.20 Mn |
| Dec 31, 2025 | 13.41 Mn |
| Sep 30, 2025 | 10.07 Mn |
| Jun 30, 2025 | 7.47 Mn |
| Mar 31, 2025 | 9.26 Mn |
| Dec 31, 2024 | 10.80 Mn |
| Sep 30, 2024 | 11.22 Mn |
| Jun 30, 2024 | 6.52 Mn |
| Mar 31, 2024 | 7.73 Mn |
| Dec 31, 2023 | 9.39 Mn |
| Sep 30, 2023 | 7.47 Mn |
| Jun 30, 2023 | 6.03 Mn |
| Mar 31, 2023 | 7.42 Mn |
| Dec 31, 2022 | 8.43 Mn |
| Sep 30, 2022 | 5.83 Mn |
| Jun 30, 2022 | 4.44 Mn |
| Mar 31, 2022 | 5.42 Mn |
| Dec 31, 2021 | 4.65 Mn |
| Sep 30, 2021 | 4.84 Mn |
API Access
Agilysys Prepaid 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=prepaid-assets&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();