Agilysys (AGYS) Cost of Revenue (2010 - 2026)
Agilysys (AGYS) posted Cost of Revenue of $32.02 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.0% from $29.38 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Agilysys (AGYS) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Agilysys was $122.03 million, up 11.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $119.39 million, up 15.2% from FY2025.
- Annual Cost of Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 20.1% (FY2021 to FY2026).
- In prior fiscal years, Agilysys' Cost of Revenue was $103.64 million in FY2025 (+11.2%), $93.21 million in FY2024 (+20.7%), $77.25 million in FY2023 (+26.4%) and $61.1 million in FY2022 (+27.8%).
- The fiscal Q1 2027 figure stands as the highest quarterly Cost of Revenue since fiscal Q1 2012.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 21 quarters, with growth averaging 14.3% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 1.0% (fiscal Q4 2026) and 46.7% (fiscal Q4 2022) over the last five years.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $29.53 million (Q4 2026), $30.15 million (Q3 2026) and $30.33 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.39 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 109.58 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 81.71 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 297.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 129.46 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 197.00 Mn |
| 10 | Agilysys | 2.80 Bn | 2.42 Bn | 55.66 Mn | 32.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.02 Mn |
| Mar 31, 2026 | 29.53 Mn |
| Dec 31, 2025 | 30.15 Mn |
| Sep 30, 2025 | 30.33 Mn |
| Jun 30, 2025 | 29.38 Mn |
| Mar 31, 2025 | 29.22 Mn |
| Dec 31, 2024 | 25.71 Mn |
| Sep 30, 2024 | 25.07 Mn |
| Jun 30, 2024 | 23.64 Mn |
| Mar 31, 2024 | 23.95 Mn |
| Dec 31, 2023 | 22.74 Mn |
| Sep 30, 2023 | 23.52 Mn |
| Jun 30, 2023 | 23.00 Mn |
| Mar 31, 2023 | 20.71 Mn |
| Dec 31, 2022 | 19.14 Mn |
| Sep 30, 2022 | 18.38 Mn |
| Jun 30, 2022 | 19.01 Mn |
| Mar 31, 2022 | 18.87 Mn |
| Dec 31, 2021 | 14.74 Mn |
| Sep 30, 2021 | 13.64 Mn |
API Access
Agilysys Cost of Revenue 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=cost-of-revenue&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();