Descartes Systems (DSGX) Receivables (2009 - 2026)
Descartes Systems (DSGX) recorded Receivables of $89.16 million in the quarter ended Jul 31, 2026, up 10.8% from $80.44 million a year earlier.
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Analysis
Descartes Systems (DSGX) Receivables (2009 - 2026) Analysis & Trends
As of Jan 31, 2026, Descartes Systems reported Receivables of $91.22 million, up 28.7% from the prior year.
- Annual Receivables has increased for five straight years, with a five-year compound annual growth rate of 11.9% (years ended Jan 2021 to Jan 2026).
- Across earlier years, Receivables came in at $70.88 million in the year ended Jan 31, 2025 (+11.2%), $63.76 million in the year ended Jan 31, 2024 (+12.2%), $56.83 million in the year ended Jan 31, 2023 (+1.9%) and $55.78 million in the year ended Jan 31, 2022 (+7.2%).
- Quarterly Receivables has ranged from -$2.12 million in the quarter ended Oct 31, 2024 to $91.22 million in the quarter ended Jan 31, 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for three consecutive quarters, with growth averaging 51.6% over the last six quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 321.5% in the quarter ended Apr 30, 2026, against a decline of 71.7% in the quarter ended Apr 30, 2025 at the low end.
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 | Descartes Systems | 6.78 Bn | 5.37 Bn | 156.71 Mn | 89.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 89.16 Mn |
| Apr 30, 2026 | 4.53 Mn |
| Jan 31, 2026 | 91.22 Mn |
| Jul 31, 2025 | 80.44 Mn |
| Apr 30, 2025 | 1.07 Mn |
| Jan 31, 2025 | 70.88 Mn |
| Oct 31, 2024 | -2.12 Mn |
| Jul 31, 2024 | 73.53 Mn |
| Apr 30, 2024 | 3.80 Mn |
| Jan 31, 2024 | 63.76 Mn |
| Jul 31, 2023 | 69.37 Mn |
| Apr 30, 2023 | -1.04 Mn |
| Jan 31, 2023 | 56.83 Mn |
| Jul 31, 2022 | 60.33 Mn |
| Apr 30, 2022 | -185,920.00 |
| Jan 31, 2022 | 55.78 Mn |
| Jan 31, 2021 | 52.04 Mn |
| Jan 31, 2020 | 37.33 Bn |
| Jan 31, 2019 | 8.45 Mn |
| Apr 30, 2018 | 13.06 Mn |
API Access
Descartes Systems 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=DSGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "DSGX", "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=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();