Agilysys (AGYS) Shares Outstanding (Diluted) (2011 - 2026)
Agilysys' Shares Outstanding (Diluted) was 28.42 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.5% from 28.29 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Agilysys (AGYS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Shares Outstanding (Diluted) at Agilysys came in at 28.39 million, up 0.5% from FY2025.
- Shares Outstanding (Diluted) has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 28.26 million in FY2025 (+5.3%), 26.84 million in FY2024 (+3.5%), 25.93 million in FY2023 (+1.8%) and 25.48 million in FY2022 (+8.6%).
- Quarterly Shares Outstanding (Diluted) has moved between 25.37 million (fiscal Q1 2023) and 28.44 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 28 straight quarters, with growth averaging 2.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.4% in fiscal Q3 2026 to 8.6% in fiscal Q4 2022.
- Per Business Quant data, AGYS's Shares Outstanding (Diluted) in the three fiscal quarters before Q1 2027 was 28.39 million (Q4 2026), 28.44 million (Q3 2026) and 28.4 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 590.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 114.98 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 | 50.03 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 59.00 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 404.40 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 28.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.42 Mn |
| Mar 31, 2026 | 28.39 Mn |
| Dec 31, 2025 | 28.44 Mn |
| Sep 30, 2025 | 28.40 Mn |
| Jun 30, 2025 | 28.29 Mn |
| Mar 31, 2025 | 28.26 Mn |
| Dec 31, 2024 | 28.31 Mn |
| Sep 30, 2024 | 28.26 Mn |
| Jun 30, 2024 | 28.13 Mn |
| Mar 31, 2024 | 26.84 Mn |
| Dec 31, 2023 | 26.98 Mn |
| Sep 30, 2023 | 26.12 Mn |
| Jun 30, 2023 | 26.18 Mn |
| Mar 31, 2023 | 25.93 Mn |
| Dec 31, 2022 | 26.07 Mn |
| Sep 30, 2022 | 25.78 Mn |
| Jun 30, 2022 | 25.37 Mn |
| Mar 31, 2022 | 25.48 Mn |
| Dec 31, 2021 | 25.39 Mn |
| Sep 30, 2021 | 25.41 Mn |
API Access
Agilysys Shares Outstanding (Diluted) 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-diluted&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();