Descartes Systems (DSGX) Cash & Equivalents (2009 - 2026)
Descartes Systems (DSGX) reported Cash & Equivalents of $401.06 million for the quarter ended Jul 31, 2026, up 66.7% from $240.63 million a year earlier and up 6.4% from the prior quarter.
Descartes Systems (DSGX) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Jan 31, 2026, Descartes Systems posted Cash & Equivalents of $356.53 million, up 51.0% from the prior year.
- Cash & Equivalents has a five-year compound annual growth rate of 21.7% (years ended Jan 2021 to Jan 2026).
- By year, Cash & Equivalents came in at $236.14 million in the year ended Jan 31, 2025 (-26.4%), $320.95 million in the year ended Jan 31, 2024 (+16.1%), $276.39 million in the year ended Jan 31, 2023 (+29.5%) and $213.44 million in the year ended Jan 31, 2022 (+59.7%).
- The figure for the quarter ended Jul 31, 2026 ranks as the highest quarterly Cash & Equivalents in data going back to the quarter ended Jan 31, 2009.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 32.5% over the last seven quarters.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Apr 30, 2026 (growth of 113.7%); the low point was the quarter ended Jan 31, 2025 (a decline of 26.4%).
- Per Business Quant data, the three quarters before the quarter ended Jul 31, 2026 came in at $376.98 million (quarter ended Apr 30, 2026), $356.53 million (quarter ended Jan 31, 2026) and $278.79 million (quarter ended Oct 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Descartes Systems | 6.89 Bn | 5.48 Bn | 156.71 Mn | 401.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 401.06 Mn |
| Apr 30, 2026 | 376.98 Mn |
| Jan 31, 2026 | 356.53 Mn |
| Oct 31, 2025 | 278.79 Mn |
| Jul 31, 2025 | 240.63 Mn |
| Apr 30, 2025 | 176.41 Mn |
| Jan 31, 2025 | 236.14 Mn |
| Oct 31, 2024 | 181.28 Mn |
| Jul 31, 2024 | 252.65 Mn |
| Apr 30, 2024 | 238.92 Mn |
| Jan 31, 2024 | 320.95 Mn |
| Jul 31, 2023 | 227.41 Mn |
| Apr 30, 2023 | 182.19 Mn |
| Jan 31, 2023 | 276.39 Mn |
| Jul 31, 2022 | 189.03 Mn |
| Apr 30, 2022 | 211.78 Mn |
| Jan 31, 2022 | 213.44 Mn |
| Jul 31, 2021 | 128.36 Mn |
| Apr 30, 2021 | 138.14 Mn |
| Jan 31, 2021 | 133.66 Mn |
Descartes Systems Cash & Equivalents 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=cash-and-equivalents&ticker=DSGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();