Agilysys (AGYS) Selling, General & Administrative (2010 - 2026)
Agilysys' Selling, General & Administrative was $11.11 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.3% from $10.76 million a year earlier and up 6.2% from the prior quarter.
Agilysys (AGYS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilysys' Selling, General & Administrative was $42.57 million through Jun 30, 2026, up 3.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $42.22 million, up 3.4% from FY2025.
- Selling, General & Administrative has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -17.5% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $40.83 million in FY2025 (+12.5%), $36.28 million in FY2024 (+18.3%), $30.67 million in FY2023 (-67.8%) and $95.21 million in FY2022 (-13.7%).
- The fiscal Q1 2027 figure marks the highest quarterly Selling, General & Administrative since fiscal Q3 2024.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last seven quarters, with an average decline of 16.9%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q2 2022 (growth of 35.3%); the worst was fiscal Q3 2025 (a decline of 68.3%).
- Per Business Quant data, AGYS's Selling, General & Administrative in the three fiscal quarters before Q1 2027 was $10.46 million (Q4 2026), $10.83 million (Q3 2026) and $10.16 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 50.59 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 11.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.11 Mn |
| Mar 31, 2026 | 10.46 Mn |
| Dec 31, 2025 | 10.83 Mn |
| Sep 30, 2025 | 10.16 Mn |
| Jun 30, 2025 | 10.76 Mn |
| Mar 31, 2025 | 10.65 Mn |
| Dec 31, 2024 | 9.54 Mn |
| Sep 30, 2024 | 10.16 Mn |
| Jun 30, 2024 | 10.48 Mn |
| Mar 31, 2024 | -57.43 Mn |
| Dec 31, 2023 | 30.07 Mn |
| Sep 30, 2023 | 31.53 Mn |
| Jun 30, 2023 | 32.10 Mn |
| Mar 31, 2023 | -48.53 Mn |
| Dec 31, 2022 | 27.29 Mn |
| Sep 30, 2022 | 26.44 Mn |
| Jun 30, 2022 | 25.46 Mn |
| Mar 31, 2022 | 26.15 Mn |
| Dec 31, 2021 | 23.10 Mn |
| Sep 30, 2021 | 23.14 Mn |
Agilysys Selling, General & Administrative 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=selling-general-and-administrative&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();