Agilysys (AGYS) Inventory (2011 - 2026)
Agilysys (AGYS) reported Inventory of $7.93 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 19.7% from $6.62 million a year earlier and up 5.3% from the prior quarter.
Powered by 
Analysis
Agilysys (AGYS) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agilysys posted Inventory of $7.53 million, up 45.5% from FY2025.
- Inventory has a five-year compound annual growth rate of 44.9% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $5.17 million in FY2025 (+12.8%), $4.59 million in FY2024 (-53.1%), $9.77 million in FY2023 (+40.8%) and $6.94 million in FY2022 (+489.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Inventory since fiscal Q1 2024.
- Year over year, Inventory has now increased in each of the last six quarters, with growth averaging 15.7% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q1 2023 (growth of 511.0%); the low point was fiscal Q4 2024 (a decline of 53.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $7.53 million (Q4 2026), $7.79 million (Q3 2026) and $7.71 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 57.03 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 217.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 185.30 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 7.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.93 Mn |
| Mar 31, 2026 | 7.53 Mn |
| Dec 31, 2025 | 7.79 Mn |
| Sep 30, 2025 | 7.71 Mn |
| Jun 30, 2025 | 6.62 Mn |
| Mar 31, 2025 | 5.17 Mn |
| Dec 31, 2024 | 6.36 Mn |
| Sep 30, 2024 | 6.45 Mn |
| Jun 30, 2024 | 5.30 Mn |
| Mar 31, 2024 | 4.59 Mn |
| Dec 31, 2023 | 6.77 Mn |
| Sep 30, 2023 | 7.49 Mn |
| Jun 30, 2023 | 8.45 Mn |
| Mar 31, 2023 | 9.77 Mn |
| Dec 31, 2022 | 10.35 Mn |
| Sep 30, 2022 | 9.66 Mn |
| Jun 30, 2022 | 7.25 Mn |
| Mar 31, 2022 | 6.94 Mn |
| Dec 31, 2021 | 3.26 Mn |
| Sep 30, 2021 | 1.88 Mn |
API Access
Agilysys Inventory 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=inventory&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();