Agilysys (AGYS) Receivables - Net (2011 - 2026)
Agilysys (AGYS) recorded Receivables - Net of $36.65 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 4.5% from $35.06 million a year earlier but down 14.9% from the prior quarter.
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Analysis
Agilysys (AGYS) Receivables - Net (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agilysys reported Receivables - Net of $43.07 million, up 36.6% from FY2025.
- Annual Receivables - Net has increased for three straight fiscal years, with a five-year compound annual growth rate of 10.9% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables - Net came in at $31.53 million in FY2025 (+7.1%), $29.44 million in FY2024 (+31.6%), $22.38 million in FY2023 (-11.1%) and $25.18 million in FY2022 (-2.2%).
- Quarterly Receivables - Net has ranged from $19.27 million in fiscal Q2 2022 to $63.7 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for six consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 54.5% in fiscal Q3 2024, against a decline of 19.3% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $43.07 million (Q4 2026), $63.7 million (Q3 2026) and $36.8 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.65 Mn |
| Mar 31, 2026 | 43.07 Mn |
| Dec 31, 2025 | 63.70 Mn |
| Sep 30, 2025 | 36.80 Mn |
| Jun 30, 2025 | 35.06 Mn |
| Mar 31, 2025 | 31.53 Mn |
| Dec 31, 2024 | 49.28 Mn |
| Sep 30, 2024 | 31.61 Mn |
| Jun 30, 2024 | 27.31 Mn |
| Mar 31, 2024 | 29.44 Mn |
| Dec 31, 2023 | 49.37 Mn |
| Sep 30, 2023 | 27.76 Mn |
| Jun 30, 2023 | 25.58 Mn |
| Mar 31, 2023 | 22.38 Mn |
| Dec 31, 2022 | 31.95 Mn |
| Sep 30, 2022 | 21.03 Mn |
| Jun 30, 2022 | 22.90 Mn |
| Mar 31, 2022 | 25.18 Mn |
| Dec 31, 2021 | 24.96 Mn |
| Sep 30, 2021 | 19.27 Mn |
API Access
Agilysys Receivables - 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=receivables-net&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-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=receivables-net&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();