Descartes Systems (DSGX) Accumulated Expenses (2009 - 2026)
Descartes Systems' Accumulated Expenses came in at $109.54 million for the quarter ended Jul 31, 2026, up 60.9% from $68.1 million a year earlier and up 19.7% from the prior quarter.
Descartes Systems (DSGX) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Jan 31, 2026, Descartes Systems' Accumulated Expenses was $73.88 million, down 7.2% from the prior year.
- Accumulated Expenses carries a five-year compound annual growth rate of 13.7% (years ended Jan 2021 to Jan 2026).
- Going back by year, Accumulated Expenses was $79.66 million in the year ended Jan 31, 2025 (-13.3%), $91.82 million in the year ended Jan 31, 2024 (+14.3%), $80.31 million in the year ended Jan 31, 2023 (+42.3%) and $56.44 million in the year ended Jan 31, 2022 (+45.2%).
- The figure for the quarter ended Jul 31, 2026 represents the highest quarterly Accumulated Expenses in data going back to the quarter ended Jan 31, 2009.
- Year-over-year, Accumulated Expenses increased in two of the last five quarters, with growth averaging 8.4%.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Apr 30, 2024 (growth of 75.3%), and the weakest in the quarter ended Jul 31, 2024 (a decline of 33.5%).
- Business Quant data shows DSGX's Accumulated Expenses at $91.53 million (quarter ended Apr 30, 2026), $73.88 million (quarter ended Jan 31, 2026) and $75.96 million (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 | 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 | 109.54 Mn |
| Apr 30, 2026 | 91.53 Mn |
| Jan 31, 2026 | 73.88 Mn |
| Oct 31, 2025 | 75.96 Mn |
| Jul 31, 2025 | 68.10 Mn |
| Apr 30, 2025 | -11.17 Mn |
| Jan 31, 2025 | 79.66 Mn |
| Oct 31, 2024 | 78.21 Mn |
| Jul 31, 2024 | 65.19 Mn |
| Apr 30, 2024 | 2.89 Mn |
| Jan 31, 2024 | 91.82 Mn |
| Jul 31, 2023 | 98.09 Mn |
| Apr 30, 2023 | 1.65 Mn |
| Jan 31, 2023 | 80.31 Mn |
| Jul 31, 2022 | 71.42 Mn |
| Apr 30, 2022 | -2.08 Mn |
| Jan 31, 2022 | 56.44 Mn |
| Jul 31, 2021 | 47.99 Mn |
| Apr 30, 2021 | 38.74 Mn |
| Jan 31, 2021 | 38.88 Mn |
Descartes Systems Accumulated Expenses 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=accumulated-expenses&ticker=DSGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();