Agilysys (AGYS) Capital Expenditures (2010 - 2026)
Agilysys (AGYS) posted Capital Expenditures of $520,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 17.9% from $633,000 a year earlier but up 22.6% from the prior quarter.
Agilysys (AGYS) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Agilysys was $1.74 million, down 31.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.85 million, down 33.6% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- In prior fiscal years, Agilysys' Capital Expenditures was $2.78 million in FY2025 (-65.8%), $8.13 million in FY2024 (+12.3%), $7.24 million in FY2023 (+504.7%) and $1.2 million in FY2022 (-13.8%).
- Quarterly Capital Expenditures has run from a low of $98,000 in fiscal Q1 2023 to a high of $3.62 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Capital Expenditures increased in two of the last eight quarters, with an average decline of 30.4%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q3 2023, with growth of 865.4%; the weakest was fiscal Q4 2024, with a decline of 87.1%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $424,000 (Q4 2026), $574,000 (Q3 2026) and $217,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 8.78 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 14.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 11.28 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 6.90 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 7.10 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 1.01 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 38.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 520,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 520,000.00 |
| Mar 31, 2026 | 424,000.00 |
| Dec 31, 2025 | 574,000.00 |
| Sep 30, 2025 | 217,000.00 |
| Jun 30, 2025 | 633,000.00 |
| Mar 31, 2025 | 701,000.00 |
| Dec 31, 2024 | 562,000.00 |
| Sep 30, 2024 | 651,000.00 |
| Jun 30, 2024 | 869,000.00 |
| Mar 31, 2024 | 469,000.00 |
| Dec 31, 2023 | 1.66 Mn |
| Sep 30, 2023 | 2.94 Mn |
| Jun 30, 2023 | 3.07 Mn |
| Mar 31, 2023 | 3.62 Mn |
| Dec 31, 2022 | 2.82 Mn |
| Sep 30, 2022 | 699,000.00 |
| Jun 30, 2022 | 98,000.00 |
| Mar 31, 2022 | 119,000.00 |
| Dec 31, 2021 | 292,000.00 |
| Sep 30, 2021 | 512,000.00 |
Agilysys Capital Expenditures 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=capital-expenditures&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();