Agilysys (AGYS) Shares Outstanding (2010 - 2026)
Agilysys (AGYS) recorded Shares Outstanding of 28.1 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.1% from 27.79 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Agilysys (AGYS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Agilysys reported Shares Outstanding of 27.92 million, up 1.5% from FY2025.
- Annual Shares Outstanding has increased for 13 straight fiscal years, with a five-year compound annual growth rate of 3.5% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 27.52 million in FY2025 (+7.2%), 25.67 million in FY2024 (+3.9%), 24.69 million in FY2023 (+1.4%) and 24.36 million in FY2022 (+3.8%).
- The fiscal Q1 2027 figure is the highest quarterly Shares Outstanding in data going back to fiscal Q1 2011.
- On a year-over-year basis, Shares Outstanding has increased for 44 consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.8% in fiscal Q2 2023 to 10.0% in fiscal Q2 2025.
- Per Business Quant, the preceding three fiscal quarters came in at 27.92 million (Q4 2026), 27.97 million (Q3 2026) and 27.88 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 578.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 114.68 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 233.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 46.70 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 58.76 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 404.10 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 28.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.10 Mn |
| Mar 31, 2026 | 27.92 Mn |
| Dec 31, 2025 | 27.97 Mn |
| Sep 30, 2025 | 27.88 Mn |
| Jun 30, 2025 | 27.79 Mn |
| Mar 31, 2025 | 27.52 Mn |
| Dec 31, 2024 | 27.67 Mn |
| Sep 30, 2024 | 27.53 Mn |
| Jun 30, 2024 | 27.13 Mn |
| Mar 31, 2024 | 25.67 Mn |
| Dec 31, 2023 | 25.81 Mn |
| Sep 30, 2023 | 25.02 Mn |
| Jun 30, 2023 | 24.94 Mn |
| Mar 31, 2023 | 24.69 Mn |
| Dec 31, 2022 | 24.70 Mn |
| Sep 30, 2022 | 24.65 Mn |
| Jun 30, 2022 | 24.60 Mn |
| Mar 31, 2022 | 24.36 Mn |
| Dec 31, 2021 | 24.48 Mn |
| Sep 30, 2021 | 24.45 Mn |
API Access
Agilysys Shares Outstanding 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&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();