Agilysys (AGYS) EBIT (2010 - 2026)
Agilysys (AGYS) posted EBIT of $9.74 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 115.4% from $4.52 million a year earlier but down 22.8% from the prior quarter.
Agilysys (AGYS) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Agilysys was $48.23 million, up 125.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $43.02 million, up 90.4% from FY2025.
- Annual EBIT has increased for four consecutive fiscal years.
- In prior fiscal years, Agilysys' EBIT was $22.59 million in FY2025 (+43.4%), $15.75 million in FY2024 (+22.4%), $12.88 million in FY2023 (+103.8%) and $6.32 million in FY2022.
- Quarterly EBIT has run from a low of $958,000 in fiscal Q1 2024 to a high of $14.15 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBIT has increased in each of the last four quarters, with growth averaging 74.6% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q1 2025, with growth of 499.9%; the weakest was fiscal Q2 2022, with a decline of 81.5%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $12.62 million (Q4 2026), $11.73 million (Q3 2026) and $14.15 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 76.00 Mn |
| 10 | Agilysys | 2.72 Bn | 2.33 Bn | 55.66 Mn | 9.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.74 Mn |
| Mar 31, 2026 | 12.62 Mn |
| Dec 31, 2025 | 11.73 Mn |
| Sep 30, 2025 | 14.15 Mn |
| Jun 30, 2025 | 4.52 Mn |
| Mar 31, 2025 | 5.31 Mn |
| Dec 31, 2024 | 7.41 Mn |
| Sep 30, 2024 | 4.13 Mn |
| Jun 30, 2024 | 5.75 Mn |
| Mar 31, 2024 | 3.48 Mn |
| Dec 31, 2023 | 7.75 Mn |
| Sep 30, 2023 | 3.56 Mn |
| Jun 30, 2023 | 958,000.00 |
| Mar 31, 2023 | 3.43 Mn |
| Dec 31, 2022 | 3.48 Mn |
| Sep 30, 2022 | 2.93 Mn |
| Jun 30, 2022 | 3.03 Mn |
| Mar 31, 2022 | 1.55 Mn |
| Dec 31, 2021 | 1.61 Mn |
| Sep 30, 2021 | 1.12 Mn |
Agilysys EBIT 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=ebit&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();