Agilysys (AGYS) Retained Earnings (2011 - 2026)
Agilysys (AGYS) reported Retained Earnings of $208.76 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 25.9% from $165.87 million a year earlier and up 4.5% from the prior quarter.
Agilysys (AGYS) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agilysys posted Retained Earnings of $199.77 million, up 24.1% from FY2025.
- Retained Earnings has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 41.4% (FY2021 to FY2026).
- By fiscal year, Retained Earnings came in at $160.98 million in FY2025 (+16.9%), $137.76 million in FY2024 (+161.1%), $52.76 million in FY2023 (+31.9%) and $40.02 million in FY2022 (+13.1%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Retained Earnings in data going back to fiscal Q4 2011.
- Year over year, Retained Earnings has now increased in each of the last 18 quarters, with growth averaging 36.5% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was fiscal Q1 2025 (growth of 182.0%); the low point was fiscal Q2 2022 (a decline of 40.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $199.77 million (Q4 2026), $187.48 million (Q3 2026) and $177.58 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -117.77 Mn |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 4.90 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | -1.56 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | -982.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.96 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 2.70 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 364.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 193.95 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 208.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 208.76 Mn |
| Mar 31, 2026 | 199.77 Mn |
| Dec 31, 2025 | 187.48 Mn |
| Sep 30, 2025 | 177.58 Mn |
| Jun 30, 2025 | 165.87 Mn |
| Mar 31, 2025 | 160.98 Mn |
| Dec 31, 2024 | 157.06 Mn |
| Sep 30, 2024 | 153.23 Mn |
| Jun 30, 2024 | 151.86 Mn |
| Mar 31, 2024 | 137.76 Mn |
| Dec 31, 2023 | 134.79 Mn |
| Sep 30, 2023 | 57.94 Mn |
| Jun 30, 2023 | 53.85 Mn |
| Mar 31, 2023 | 52.76 Mn |
| Dec 31, 2022 | 49.15 Mn |
| Sep 30, 2022 | 45.72 Mn |
| Jun 30, 2022 | 42.60 Mn |
| Mar 31, 2022 | 40.02 Mn |
| Dec 31, 2021 | 38.50 Mn |
| Sep 30, 2021 | 37.41 Mn |
Agilysys Retained Earnings 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=retained-earnings&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();