Agilysys (AGYS) Property, Plant & Equipment (Net) (2011 - 2026)
Agilysys' Property, Plant & Equipment (Net) was $13.37 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 17.4% from $16.2 million a year earlier and down 4.1% from the prior quarter.
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Analysis
Agilysys (AGYS) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Property, Plant & Equipment (Net) at Agilysys came in at $13.95 million, down 16.6% from FY2025.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $16.72 million in FY2025 (-6.8%), $17.93 million in FY2024 (+23.0%), $14.58 million in FY2023 (+129.7%) and $6.35 million in FY2022 (-27.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2023.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for seven straight quarters, with an average decline of 10.2% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q2 2024 (growth of 177.9%); the worst was fiscal Q3 2022 (a decline of 28.7%).
- Per Business Quant data, AGYS's Property, Plant & Equipment (Net) in the three fiscal quarters before Q1 2027 was $13.95 million (Q4 2026), $14.69 million (Q3 2026) and $15.27 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 42.62 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.44 Bn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 13.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.37 Mn |
| Mar 31, 2026 | 13.95 Mn |
| Dec 31, 2025 | 14.69 Mn |
| Sep 30, 2025 | 15.27 Mn |
| Jun 30, 2025 | 16.20 Mn |
| Mar 31, 2025 | 16.72 Mn |
| Dec 31, 2024 | 16.87 Mn |
| Sep 30, 2024 | 17.54 Mn |
| Jun 30, 2024 | 17.66 Mn |
| Mar 31, 2024 | 17.93 Mn |
| Dec 31, 2023 | 18.07 Mn |
| Sep 30, 2023 | 17.48 Mn |
| Jun 30, 2023 | 15.99 Mn |
| Mar 31, 2023 | 14.58 Mn |
| Dec 31, 2022 | 9.70 Mn |
| Sep 30, 2022 | 6.29 Mn |
| Jun 30, 2022 | 5.90 Mn |
| Mar 31, 2022 | 6.35 Mn |
| Dec 31, 2021 | 6.79 Mn |
| Sep 30, 2021 | 7.37 Mn |
API Access
Agilysys Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();