Agilysys (AGYS) Return on Capital Employed [ROCE] (2011 - 2026)
Agilysys' Return on Capital Employed [ROCE] came in at 12.95% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.53 percentage points from 6.42% a year earlier and up 0.77 percentage points from the prior quarter.
Agilysys (AGYS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Agilysys' Return on Capital Employed [ROCE] was 12.92%, up 4.89 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a five-year change of +31.79 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 8.03% in FY2025 (+0.43 pp), 7.60% in FY2024 (-0.98 pp), 8.58% in FY2023 (+3.74 pp) and 4.84% in FY2022 (+23.71 pp).
- The fiscal Q1 2027 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q1 2012.
- Year-over-year, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +2.31 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q2 2023 (a gain of 23.12 percentage points), and the weakest in fiscal Q4 2024 (a drop of 1.67 percentage points).
- Business Quant data shows AGYS's Return on Capital Employed [ROCE] at 12.18% (Q4 2026), 11.14% (Q3 2026) and 9.54% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Agilysys | 2.80 Bn | 2.42 Bn | 55.66 Mn | 12.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.95% |
| Mar 31, 2026 | 12.18% |
| Dec 31, 2025 | 11.14% |
| Sep 30, 2025 | 9.54% |
| Jun 30, 2025 | 6.42% |
| Mar 31, 2025 | 6.89% |
| Dec 31, 2024 | 6.33% |
| Sep 30, 2024 | 6.97% |
| Jun 30, 2024 | 7.45% |
| Mar 31, 2024 | 6.08% |
| Dec 31, 2023 | 7.49% |
| Sep 30, 2023 | 6.33% |
| Jun 30, 2023 | 6.23% |
| Mar 31, 2023 | 7.75% |
| Dec 31, 2022 | 7.21% |
| Sep 30, 2022 | 5.97% |
| Jun 30, 2022 | 4.92% |
| Mar 31, 2022 | 4.62% |
| Dec 31, 2021 | -15.26% |
| Sep 30, 2021 | -17.15% |
Agilysys Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();