Descartes Systems (DSGX) Goodwill & Intangibles (2009 - 2026)
Descartes Systems' Goodwill & Intangibles came in at $1.38 billion for the quarter ended Jul 31, 2026, up 2.8% from $1.34 billion a year earlier and up 1.3% from the prior quarter.
Descartes Systems (DSGX) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
As of Jan 31, 2026, Descartes Systems' Goodwill & Intangibles was $1.36 billion, up 9.0% from the prior year.
- Goodwill & Intangibles has increased in each of the last 12 years, with a five-year compound annual growth rate of 11.0% (years ended Jan 2021 to Jan 2026).
- Going back by year, Goodwill & Intangibles was $1.25 billion in the year ended Jan 31, 2025 (+23.2%), $1.01 billion in the year ended Jan 31, 2024 (+2.1%), $990.22 million in the year ended Jan 31, 2023 (+18.1%) and $838.37 million in the year ended Jan 31, 2022 (+4.1%).
- The figure for the quarter ended Jul 31, 2026 represents the highest quarterly Goodwill & Intangibles in data going back to the quarter ended Jan 31, 2009.
- Year-over-year, Goodwill & Intangibles has increased for seven consecutive quarters, with growth averaging 10.9% over the last seven quarters.
- The year-over-year growth in Goodwill & Intangibles has ranged between 0.1% (the quarter ended Apr 30, 2026) and 23.2% (the quarter ended Jan 31, 2025) over the last five years.
- Business Quant data shows DSGX's Goodwill & Intangibles at $1.36 billion (quarter ended Apr 30, 2026), $1.36 billion (quarter ended Jan 31, 2026) and $1.37 billion (quarter ended Oct 31, 2025) in the three quarters before the quarter ended Jul 31, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Descartes Systems | 6.89 Bn | 5.48 Bn | 156.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.38 Bn |
| Apr 30, 2026 | 1.36 Bn |
| Jan 31, 2026 | 1.36 Bn |
| Oct 31, 2025 | 1.37 Bn |
| Jul 31, 2025 | 1.34 Bn |
| Apr 30, 2025 | 1.36 Bn |
| Jan 31, 2025 | 1.25 Bn |
| Oct 31, 2024 | 1.28 Bn |
| Jul 31, 2024 | 1.15 Bn |
| Apr 30, 2024 | 1.16 Bn |
| Jan 31, 2024 | 1.01 Bn |
| Jul 31, 2023 | 1.05 Bn |
| Apr 30, 2023 | 1.06 Bn |
| Jan 31, 2023 | 990.22 Mn |
| Jul 31, 2022 | 924.37 Mn |
| Apr 30, 2022 | 869.84 Mn |
| Jan 31, 2022 | 838.37 Mn |
| Jul 31, 2021 | 880.91 Mn |
| Apr 30, 2021 | 837.21 Mn |
| Jan 31, 2021 | 805.17 Mn |
Descartes Systems Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=DSGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();