Agilysys (AGYS) Accumulated Expenses (2011 - 2026)
Agilysys (AGYS) reported Accumulated Expenses of $13.96 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.7% from $12.28 million a year earlier but down 42.6% from the prior quarter.
Powered by 
Analysis
Agilysys (AGYS) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agilysys posted Accumulated Expenses of $24.33 million, up 9.0% from FY2025.
- Accumulated Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 16.4% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $22.32 million in FY2025 (+14.4%), $19.52 million in FY2024 (+42.4%), $13.71 million in FY2023 (+29.9%) and $10.55 million in FY2022 (-7.3%).
- Five-year quarterly Accumulated Expenses spans a low of $7.87 million in fiscal Q1 2023 and a high of $24.33 million in fiscal Q4 2026.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 11.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2025 (growth of 62.1%); the low point was fiscal Q2 2026 (a decline of 29.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $24.33 million (Q4 2026), $19.47 million (Q3 2026) and $15.65 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 | 13.96 Mn |
| Mar 31, 2026 | 24.33 Mn |
| Dec 31, 2025 | 19.47 Mn |
| Sep 30, 2025 | 15.65 Mn |
| Jun 30, 2025 | 12.28 Mn |
| Mar 31, 2025 | 22.32 Mn |
| Dec 31, 2024 | 17.50 Mn |
| Sep 30, 2024 | 22.32 Mn |
| Jun 30, 2024 | 13.13 Mn |
| Mar 31, 2024 | 19.52 Mn |
| Dec 31, 2023 | 15.31 Mn |
| Sep 30, 2023 | 13.76 Mn |
| Jun 30, 2023 | 11.26 Mn |
| Mar 31, 2023 | 13.71 Mn |
| Dec 31, 2022 | 11.73 Mn |
| Sep 30, 2022 | 9.96 Mn |
| Jun 30, 2022 | 7.87 Mn |
| Mar 31, 2022 | 10.55 Mn |
| Dec 31, 2021 | 8.39 Mn |
| Sep 30, 2021 | 8.22 Mn |
API Access
Agilysys Accumulated Expenses 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=accumulated-expenses&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();