Agilysys (AGYS) Gains from Sales and Divestitures (2014 - 2026)
Agilysys' Gains from Sales and Divestitures came in at -$7,000 for fiscal Q4 2026 (quarter ended Mar 31, 2026), compared with -$1,000 a year earlier.
Analysis
Agilysys (AGYS) Gains from Sales and Divestitures (2014 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Agilysys' Gains from Sales and Divestitures was -$9,000.
- Going back by fiscal year, Gains from Sales and Divestitures was -$25,000 in FY2025, $1.15 million in FY2024, -$66,000 in FY2023 and -$195,000 in FY2022.
- The fiscal Q4 2026 figure represents the lowest quarterly Gains from Sales and Divestitures since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Agilysys | 2.80 Bn | 2.42 Bn | 55.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -7,000.00 |
| Mar 31, 2025 | -1,000.00 |
| Dec 31, 2024 | -3,000.00 |
| Dec 31, 2023 | 1.15 Mn |
| Mar 31, 2023 | -66,000.00 |
| Mar 31, 2022 | -72,000.00 |
| Jun 30, 2021 | -123,000.00 |
| Mar 31, 2017 | -65,000.00 |
| Mar 31, 2016 | -643,000.00 |
| Mar 31, 2015 | -1,000.00 |
| Mar 31, 2014 | -50,000.00 |
API Access
Agilysys Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();