Agilysys (AGYS) Revenue (2010 - 2026)
Agilysys (AGYS) reported Revenue of $87.68 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 14.3% from $76.68 million a year earlier and up 5.7% from the prior quarter.
Agilysys (AGYS) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Agilysys' Revenue came in at $330.31 million, up 14.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $319.31 million, up 15.9% from FY2025.
- Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 18.4% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $275.62 million in FY2025 (+16.1%), $237.46 million in FY2024 (+19.9%), $198.07 million in FY2023 (+21.8%) and $162.64 million in FY2022 (+18.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Revenue since fiscal Q1 2011.
- Year over year, Revenue has now increased in each of the last 21 quarters, with growth averaging 16.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 7.6% (fiscal Q3 2022) to 28.1% (fiscal Q4 2022).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $82.95 million (Q4 2026), $80.39 million (Q3 2026) and $79.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 925.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 87.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.68 Mn |
| Mar 31, 2026 | 82.95 Mn |
| Dec 31, 2025 | 80.39 Mn |
| Sep 30, 2025 | 79.30 Mn |
| Jun 30, 2025 | 76.68 Mn |
| Mar 31, 2025 | 74.27 Mn |
| Dec 31, 2024 | 69.56 Mn |
| Sep 30, 2024 | 68.28 Mn |
| Jun 30, 2024 | 63.51 Mn |
| Mar 31, 2024 | 62.22 Mn |
| Dec 31, 2023 | 60.57 Mn |
| Sep 30, 2023 | 58.62 Mn |
| Jun 30, 2023 | 56.06 Mn |
| Mar 31, 2023 | 52.90 Mn |
| Dec 31, 2022 | 49.92 Mn |
| Sep 30, 2022 | 47.74 Mn |
| Jun 30, 2022 | 47.51 Mn |
| Mar 31, 2022 | 46.56 Mn |
| Dec 31, 2021 | 39.46 Mn |
| Sep 30, 2021 | 37.89 Mn |
Agilysys Revenue 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=revenue&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();