Agilysys (AGYS) Change in Receivables (2010 - 2018)
Agilysys' Change in Receivables came in at $11.41 million for FY2026 (year ended Mar 31, 2026), compared with $565,000 in FY2025.
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Analysis
Agilysys (AGYS) Change in Receivables (2010 - 2018) Analysis & Trends
Going back to FY2010, Agilysys' Change in Receivables data covers 17 fiscal years.
- The FY2026 figure represents the highest annual Change in Receivables in data going back to FY2010.
- Per Business Quant, earlier fiscal years put Change in Receivables at $565,000 in FY2025 (-91.9%), $7 million in FY2024, -$2.54 million in FY2023 and -$2.55 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | -71.70 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 53.12 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 7.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | -22.77 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 5.89 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -16.30 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | -7.79 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | -8.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 1.62 Mn |
| Dec 31, 2017 | -16,000.00 |
| Sep 30, 2017 | -4.01 Mn |
| Jun 30, 2017 | 3.12 Mn |
| Mar 31, 2017 | 296,000.00 |
| Dec 31, 2016 | -806,000.00 |
| Sep 30, 2016 | -1.16 Mn |
| Jun 30, 2016 | -4.70 Mn |
| Mar 31, 2016 | 1.29 Mn |
| Dec 31, 2015 | 3.87 Mn |
| Sep 30, 2015 | -2.15 Mn |
| Jun 30, 2015 | -6.25 Mn |
| Mar 31, 2015 | 4.28 Mn |
| Dec 31, 2014 | -2.24 Mn |
| Sep 30, 2014 | 1.21 Mn |
| Jun 30, 2014 | -1.32 Mn |
| Mar 31, 2014 | 1.89 Mn |
| Dec 31, 2013 | 4.38 Mn |
| Sep 30, 2013 | 941,000.00 |
| Jun 30, 2013 | 631,000.00 |
API Access
Agilysys Change in Receivables 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=change-in-receivables&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();