Agilysys (AGYS) Cash & Equivalents (2010 - 2026)
Agilysys' Cash & Equivalents was $123.71 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 122.6% from $55.56 million a year earlier and up 5.8% from the prior quarter.
Agilysys (AGYS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Agilysys came in at $116.89 million, up 60.0% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $73.04 million in FY2025 (-49.6%), $144.89 million in FY2024 (+28.4%), $112.84 million in FY2023 (+16.4%) and $96.97 million in FY2022 (-2.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash & Equivalents since fiscal Q1 2025.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 2.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2027 (growth of 122.6%); the worst was fiscal Q1 2026 (a decline of 61.4%).
- Per Business Quant data, AGYS's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $116.89 million (Q4 2026), $81.45 million (Q3 2026) and $59.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.18 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 123.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.71 Mn |
| Mar 31, 2026 | 116.89 Mn |
| Dec 31, 2025 | 81.45 Mn |
| Sep 30, 2025 | 59.34 Mn |
| Jun 30, 2025 | 55.56 Mn |
| Mar 31, 2025 | 73.04 Mn |
| Dec 31, 2024 | 60.76 Mn |
| Sep 30, 2024 | 54.89 Mn |
| Jun 30, 2024 | 144.11 Mn |
| Mar 31, 2024 | 144.89 Mn |
| Dec 31, 2023 | 116.20 Mn |
| Sep 30, 2023 | 107.41 Mn |
| Jun 30, 2023 | 107.09 Mn |
| Mar 31, 2023 | 112.84 Mn |
| Dec 31, 2022 | 105.82 Mn |
| Sep 30, 2022 | 96.20 Mn |
| Jun 30, 2022 | 94.90 Mn |
| Mar 31, 2022 | 96.97 Mn |
| Dec 31, 2021 | 115.12 Mn |
| Sep 30, 2021 | 106.39 Mn |
Agilysys Cash & Equivalents 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=cash-and-equivalents&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();