Agilysys (AGYS) Return on Equity [ROE] (2011 - 2026)
Agilysys (AGYS) posted Return on Equity [ROE] of 12.75% for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 4.35 percentage points from 8.40% a year earlier but down 0.15 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).
- Quarterly Return on Equity [ROE] has run from a low of -21.97% in fiscal Q3 2022 to a high of 50.34% in fiscal Q3 2024 over five years.
- On a year-over-year basis, Return on Equity [ROE] has increased in each of the last four quarters, with an average year-over-year change of -14.62 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 12.90% (Q1 2027), 12.12% (Q4 2026) and 9.98% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 13.77% |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 5.82% |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 33.39% |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 25.39% |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 118.88% |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 25.96% |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | -3.12% |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.25% |
| 10 | Agilysys | 3.40 Bn | 2.94 Bn | 60.31 Mn | 12.75% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.75% |
| 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% |
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();