Agilysys (AGYS) EBITDA (2010 - 2026)
Agilysys (AGYS) recorded EBITDA of $12.16 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 71.5% from $7.09 million a year earlier but down 11.3% from the prior quarter.
Powered by 
Analysis
Agilysys (AGYS) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Agilysys' EBITDA came in at $54.05 million as of Jun 30, 2026, up 75.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $53.27 million, up 74.1% from FY2025.
- Annual EBITDA has increased for four straight fiscal years.
- Across earlier fiscal years, EBITDA came in at $30.59 million in FY2025 (+44.5%), $21.17 million in FY2024 (+28.0%), $16.55 million in FY2023 (+62.5%) and $10.18 million in FY2022.
- Quarterly EBITDA has ranged from $2.01 million in fiscal Q2 2022 to $15.28 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, EBITDA has increased for 12 consecutive quarters, with growth averaging 54.0% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 197.4% in fiscal Q1 2025, against a decline of 72.3% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $13.7 million (Q4 2026), $12.91 million (Q3 2026) and $15.28 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 12.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.16 Mn |
| Mar 31, 2026 | 13.70 Mn |
| Dec 31, 2025 | 12.91 Mn |
| Sep 30, 2025 | 15.28 Mn |
| Jun 30, 2025 | 7.09 Mn |
| Mar 31, 2025 | 7.49 Mn |
| Dec 31, 2024 | 10.18 Mn |
| Sep 30, 2024 | 6.05 Mn |
| Jun 30, 2024 | 6.87 Mn |
| Mar 31, 2024 | 4.58 Mn |
| Dec 31, 2023 | 9.00 Mn |
| Sep 30, 2023 | 5.12 Mn |
| Jun 30, 2023 | 2.31 Mn |
| Mar 31, 2023 | 4.25 Mn |
| Dec 31, 2022 | 4.35 Mn |
| Sep 30, 2022 | 3.83 Mn |
| Jun 30, 2022 | 3.96 Mn |
| Mar 31, 2022 | 2.72 Mn |
| Dec 31, 2021 | 2.37 Mn |
| Sep 30, 2021 | 2.01 Mn |
API Access
Agilysys EBITDA 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=ebitda&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();