Agilysys (AGYS) Payables (2011 - 2026)
Agilysys (AGYS) posted Payables of $12.63 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.5% from $14.28 million a year earlier but up 1.5% from the prior quarter.
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Analysis
Agilysys (AGYS) Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agilysys' Payables came in at $12.45 million, up 0.5% from FY2025.
- Annual Payables shows a five-year compound annual growth rate of 14.4% (FY2021 to FY2026).
- In prior fiscal years, Agilysys' Payables was $12.39 million in FY2025 (+31.5%), $9.42 million in FY2024 (unchanged), $9.42 million in FY2023 (-3.6%) and $9.77 million in FY2022 (+53.9%).
- Quarterly Payables has run from a low of $8.04 million in fiscal Q3 2022 to a high of $14.28 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Payables increased in seven of the last eight quarters, with growth averaging 15.7%.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q2 2022, with growth of 183.7%; the weakest was fiscal Q1 2027, with a decline of 11.5%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $12.45 million (Q4 2026), $12.5 million (Q3 2026) and $12.76 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 35.98 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 41.24 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 40.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 34.91 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 211.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 16.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 30.73 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 44.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 12.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.63 Mn |
| Mar 31, 2026 | 12.45 Mn |
| Dec 31, 2025 | 12.50 Mn |
| Sep 30, 2025 | 12.76 Mn |
| Jun 30, 2025 | 14.28 Mn |
| Mar 31, 2025 | 12.39 Mn |
| Dec 31, 2024 | 11.68 Mn |
| Sep 30, 2024 | 12.75 Mn |
| Jun 30, 2024 | 10.09 Mn |
| Mar 31, 2024 | 9.42 Mn |
| Dec 31, 2023 | 9.01 Mn |
| Sep 30, 2023 | 10.07 Mn |
| Jun 30, 2023 | 10.54 Mn |
| Mar 31, 2023 | 9.42 Mn |
| Dec 31, 2022 | 9.75 Mn |
| Sep 30, 2022 | 10.43 Mn |
| Jun 30, 2022 | 8.19 Mn |
| Mar 31, 2022 | 9.77 Mn |
| Dec 31, 2021 | 8.04 Mn |
| Sep 30, 2021 | 9.01 Mn |
API Access
Agilysys Payables 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=payables&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();