Agilysys (AGYS) Return on Sales [ROS] (2010 - 2026)
Agilysys (AGYS) recorded Return on Sales [ROS] of 11.11% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.21 percentage points from 5.90% a year earlier but down 4.10 percentage points from the prior quarter.
Agilysys (AGYS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Agilysys' Return on Sales [ROS] came in at 14.60% as of Jun 30, 2026, up 7.20 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 13.47%, up 5.27 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for six straight fiscal years, with a five-year change of +28.75 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 8.20% in FY2025 (+1.56 pp), 6.63% in FY2024 (+0.13 pp), 6.50% in FY2023 (+2.62 pp) and 3.89% in FY2022 (+19.16 pp).
- Quarterly Return on Sales [ROS] has ranged from 1.71% in fiscal Q1 2024 to 17.84% in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +3.15 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 71.49 percentage points in fiscal Q4 2022, against a drop of 14.65 percentage points in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 15.21% (Q4 2026), 14.59% (Q3 2026) and 17.84% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Agilysys | 2.80 Bn | 2.42 Bn | 55.66 Mn | 11.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.11% |
| Mar 31, 2026 | 15.21% |
| Dec 31, 2025 | 14.59% |
| Sep 30, 2025 | 17.84% |
| Jun 30, 2025 | 5.90% |
| Mar 31, 2025 | 7.15% |
| Dec 31, 2024 | 10.65% |
| Sep 30, 2024 | 6.04% |
| Jun 30, 2024 | 9.05% |
| Mar 31, 2024 | 5.59% |
| Dec 31, 2023 | 12.80% |
| Sep 30, 2023 | 6.08% |
| Jun 30, 2023 | 1.71% |
| Mar 31, 2023 | 6.49% |
| Dec 31, 2022 | 6.98% |
| Sep 30, 2022 | 6.13% |
| Jun 30, 2022 | 6.38% |
| Mar 31, 2022 | 3.32% |
| Dec 31, 2021 | 4.09% |
| Sep 30, 2021 | 2.96% |
Agilysys Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();