Agilysys (AGYS) Return on Equity [ROE] (2011 - 2026)
Agilysys (AGYS) posted Return on Equity [ROE] of 12.90% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.80 percentage points from 5.10% a year earlier and up 0.77 percentage points from the prior quarter.
Agilysys (AGYS) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Agilysys' Return on Equity [ROE] came in at 13.09%, up 3.84 percentage points from FY2025.
- Annual Return on Equity [ROE] shows a five-year change of +40.79 percentage points (FY2021 to FY2026).
- In prior fiscal years, Agilysys' Return on Equity [ROE] was 9.25% in FY2025 (-40.61 pp), 49.85% in FY2024 (+35.74 pp), 14.11% in FY2023 (+6.80 pp) and 7.31% in FY2022 (+35.01 pp).
- The fiscal Q1 2027 figure stands as the highest quarterly Return on Equity [ROE] since fiscal Q2 2025.
- On a year-over-year basis, Return on Equity [ROE] has increased in each of the last three quarters, with an average year-over-year change of -12.05 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was fiscal Q3 2024, with a gain of 38.93 percentage points; the weakest was fiscal Q3 2025, with a drop of 41.73 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior fiscal quarters was 12.12% (Q4 2026), 9.98% (Q3 2026) and 8.40% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 13.77% |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 5.82% |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 24.09% |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 33.39% |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 29.32% |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -1.95% |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 115.93% |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 0.93% |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 12.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.90% |
| Mar 31, 2026 | 12.12% |
| Dec 31, 2025 | 9.98% |
| Sep 30, 2025 | 8.40% |
| Jun 30, 2025 | 5.10% |
| Mar 31, 2025 | 8.89% |
| Dec 31, 2024 | 8.61% |
| Sep 30, 2024 | 37.16% |
| Jun 30, 2024 | 40.25% |
| Mar 31, 2024 | 36.93% |
| Dec 31, 2023 | 50.34% |
| Sep 30, 2023 | 12.30% |
| Jun 30, 2023 | 11.83% |
| Mar 31, 2023 | 13.16% |
| Dec 31, 2022 | 11.41% |
| Sep 30, 2022 | 9.76% |
| Jun 30, 2022 | 7.60% |
| Mar 31, 2022 | 6.83% |
| Dec 31, 2021 | -21.97% |
| Sep 30, 2021 | -27.17% |
Agilysys Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();