Agilysys (AGYS) Receivables (2011 - 2026)
Agilysys' Receivables came in at $41.31 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.3% from $38.87 million a year earlier but down 13.0% from the prior quarter.
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Analysis
Agilysys (AGYS) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agilysys' Receivables was $47.51 million, up 31.8% from FY2025.
- Receivables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $36.05 million in FY2025 (+13.6%), $31.73 million in FY2024 (+28.9%), $24.62 million in FY2023 (-8.3%) and $26.84 million in FY2022 (-4.5%).
- The five-year range for quarterly Receivables is $21.12 million (fiscal Q2 2022) to $67.12 million (fiscal Q3 2026).
- Year-over-year, Receivables has increased for 13 consecutive quarters, with growth averaging 17.1% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q3 2024 (growth of 48.9%), and the weakest in fiscal Q3 2022 (a decline of 21.1%).
- Business Quant data shows AGYS's Receivables at $47.51 million (Q4 2026), $67.12 million (Q3 2026) and $40.84 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 41.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.31 Mn |
| Mar 31, 2026 | 47.51 Mn |
| Dec 31, 2025 | 67.12 Mn |
| Sep 30, 2025 | 40.84 Mn |
| Jun 30, 2025 | 38.87 Mn |
| Mar 31, 2025 | 36.05 Mn |
| Dec 31, 2024 | 53.29 Mn |
| Sep 30, 2024 | 36.15 Mn |
| Jun 30, 2024 | 30.83 Mn |
| Mar 31, 2024 | 31.73 Mn |
| Dec 31, 2023 | 51.34 Mn |
| Sep 30, 2023 | 31.04 Mn |
| Jun 30, 2023 | 27.86 Mn |
| Mar 31, 2023 | 24.62 Mn |
| Dec 31, 2022 | 34.48 Mn |
| Sep 30, 2022 | 24.74 Mn |
| Jun 30, 2022 | 25.56 Mn |
| Mar 31, 2022 | 26.84 Mn |
| Dec 31, 2021 | 26.59 Mn |
| Sep 30, 2021 | 21.12 Mn |
API Access
Agilysys 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=receivables&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();