Descartes Systems (DSGX) Market Capitalization (2009 - 2026)
Descartes Systems' Market Capitalization was $6.47 billion in the quarter ended Jul 31, 2026, down 28.2% from $9.01 billion a year earlier but up 4.2% from the prior quarter.
Descartes Systems (DSGX) Market Capitalization (2009 - 2026) Analysis & Trends
For the year ended Jan 31, 2026, Market Capitalization at Descartes Systems came in at $6.43 billion, down 34.8% from the prior year.
- Market Capitalization shows a five-year compound annual growth rate of 4.5% (years ended Jan 2021 to Jan 2026).
- In earlier years, Market Capitalization was $9.87 billion in the year ended Jan 31, 2025 (+32.2%), $7.46 billion in the year ended Jan 31, 2024 (+20.5%), $6.19 billion in the year ended Jan 31, 2023 (+0.4%) and $6.17 billion in the year ended Jan 31, 2022 (+19.5%).
- Quarterly Market Capitalization has moved between $5.27 billion (the quarter ended Apr 30, 2022) and $9.87 billion (the quarter ended Jan 31, 2025) over five years.
- Compared with a year earlier, Market Capitalization has declined for four straight quarters, with an average decline of 8.5% over the last seven quarters.
- The best year-over-year quarter for Market Capitalization over five years was the quarter ended Sep 30, 2021 (growth of 43.7%); the worst was the quarter ended Jan 31, 2026 (a decline of 34.8%).
- Per Business Quant data, DSGX's Market Capitalization in the three quarters before the quarter ended Jul 31, 2026 was $6.2 billion (quarter ended Apr 30, 2026), $6.43 billion (quarter ended Jan 31, 2026) and $7.51 billion (quarter ended Oct 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Descartes Systems | 6.96 Bn | 5.54 Bn | 156.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.47 Bn |
| Apr 30, 2026 | 6.20 Bn |
| Jan 31, 2026 | 6.43 Bn |
| Oct 31, 2025 | 7.51 Bn |
| Jul 31, 2025 | 9.01 Bn |
| Apr 30, 2025 | 8.98 Bn |
| Jan 31, 2025 | 9.87 Bn |
| Oct 31, 2024 | 8.85 Bn |
| Jul 31, 2024 | 8.66 Bn |
| Apr 30, 2024 | 7.90 Bn |
| Jan 31, 2024 | 7.46 Bn |
| Sep 30, 2023 | 6.22 Bn |
| Jul 31, 2023 | 6.60 Bn |
| Apr 30, 2023 | 6.72 Bn |
| Jan 31, 2023 | 6.19 Bn |
| Sep 30, 2022 | 5.38 Bn |
| Jul 31, 2022 | 5.85 Bn |
| Apr 30, 2022 | 5.27 Bn |
| Jan 31, 2022 | 6.17 Bn |
| Sep 30, 2021 | 6.89 Bn |
Descartes Systems Market Capitalization 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=market-capitalization&ticker=DSGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();