Agilysys (AGYS) Research & Development (2011 - 2026)
Agilysys (AGYS) reported Research & Development of $20.25 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 16.0% from $17.45 million a year earlier and up 9.2% from the prior quarter.
Agilysys (AGYS) Research & Development (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Agilysys' Research & Development came in at $75.54 million, up 15.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $72.75 million, up 16.6% from FY2025.
- Research & Development has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- By fiscal year, Research & Development came in at $62.41 million in FY2025 (+10.0%), $56.74 million in FY2024 (+12.9%), $50.26 million in FY2023 (+8.5%) and $46.33 million in FY2022 (-16.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Research & Development since fiscal Q4 2021.
- Year over year, Research & Development has now increased in each of the last 17 quarters, with growth averaging 14.1% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was fiscal Q2 2022 (growth of 37.8%); the low point was fiscal Q4 2022 (a decline of 53.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $18.54 million (Q4 2026), $18.93 million (Q3 2026) and $17.83 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 20.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.25 Mn |
| Mar 31, 2026 | 18.54 Mn |
| Dec 31, 2025 | 18.93 Mn |
| Sep 30, 2025 | 17.83 Mn |
| Jun 30, 2025 | 17.45 Mn |
| Mar 31, 2025 | 16.55 Mn |
| Dec 31, 2024 | 14.97 Mn |
| Sep 30, 2024 | 16.17 Mn |
| Jun 30, 2024 | 14.72 Mn |
| Mar 31, 2024 | 14.28 Mn |
| Dec 31, 2023 | 14.55 Mn |
| Sep 30, 2023 | 14.58 Mn |
| Jun 30, 2023 | 13.32 Mn |
| Mar 31, 2023 | 13.71 Mn |
| Dec 31, 2022 | 12.42 Mn |
| Sep 30, 2022 | 12.58 Mn |
| Jun 30, 2022 | 11.56 Mn |
| Mar 31, 2022 | 12.26 Mn |
| Dec 31, 2021 | 11.21 Mn |
| Sep 30, 2021 | 11.38 Mn |
Agilysys Research & Development 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=research-and-development&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();