Agilysys (AGYS) Shares Outstanding (Entity) (2010 - 2026)
Agilysys (AGYS) reported Shares Outstanding (Entity) of 28.2 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.6% from 28.04 million a year earlier and up 0.1% from the prior quarter.
Agilysys (AGYS) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Agilysys posted Shares Outstanding (Entity) of 28.17 million, up 0.5% from FY2025.
- Shares Outstanding (Entity) has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Entity) came in at 28.02 million in FY2025 (+2.3%), 27.38 million in FY2024 (+8.1%), 25.33 million in FY2023 (+2.4%) and 24.73 million in FY2022 (+3.0%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q1 2011.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 22 quarters, with growth averaging 2.2% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Entity) has ranged between 0.4% (fiscal Q2 2026) and 10.1% (fiscal Q2 2025) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 28.17 million (Q4 2026), 28.1 million (Q3 2026) and 28.04 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 161.91 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 585.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 577.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 110.72 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 233.20 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 93.53 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 58.30 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 405.20 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 28.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.20 Mn |
| Mar 31, 2026 | 28.17 Mn |
| Dec 31, 2025 | 28.10 Mn |
| Sep 30, 2025 | 28.04 Mn |
| Jun 30, 2025 | 28.04 Mn |
| Mar 31, 2025 | 28.02 Mn |
| Dec 31, 2024 | 27.96 Mn |
| Sep 30, 2024 | 27.94 Mn |
| Jun 30, 2024 | 27.87 Mn |
| Mar 31, 2024 | 27.38 Mn |
| Dec 31, 2023 | 27.35 Mn |
| Sep 30, 2023 | 25.37 Mn |
| Jun 30, 2023 | 25.35 Mn |
| Mar 31, 2023 | 25.33 Mn |
| Dec 31, 2022 | 25.18 Mn |
| Sep 30, 2022 | 25.06 Mn |
| Jun 30, 2022 | 25.03 Mn |
| Mar 31, 2022 | 24.73 Mn |
| Dec 31, 2021 | 24.71 Mn |
| Sep 30, 2021 | 24.61 Mn |
Agilysys Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();