Descartes Systems (DSGX) Operating Leases (2019 - 2026)
Descartes Systems (DSGX) recorded Operating Leases of $3.33 million in the quarter ended Jul 31, 2026, down 0.2% from $3.34 million a year earlier and down 3.3% from the prior quarter.
Descartes Systems (DSGX) Operating Leases (2019 - 2026) Analysis & Trends
As of Jan 31, 2026, Descartes Systems reported Operating Leases of $3.47 million, up 9.2% from the prior year.
- Annual Operating Leases has a five-year compound annual growth rate of -3.6% (years ended Jan 2021 to Jan 2026).
- Across earlier years, Operating Leases came in at $3.18 million in the year ended Jan 31, 2025 (+3.3%), $3.08 million in the year ended Jan 31, 2024 (-9.5%), $3.4 million in the year ended Jan 31, 2023 (-15.7%) and $4.03 million in the year ended Jan 31, 2022 (-3.3%).
- Quarterly Operating Leases has ranged from -$3.1 million in the quarter ended Apr 30, 2024 to $4.03 million in the quarter ended Jan 31, 2022 over the past five years.
- On a year-over-year basis, Operating Leases rose in four of the last five quarters, with growth averaging 8.1%.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 14.9% in the quarter ended Oct 31, 2025, against a decline of 54.0% in the quarter ended Jul 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.44 million (quarter ended Apr 30, 2026), $3.47 million (quarter ended Jan 31, 2026) and $3.24 million (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 | 51.55 Bn | 23.79 Bn | 695.95 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn |
| 10 | Descartes Systems | 7.74 Bn | 6.33 Bn | 156.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.21 Mn |
| Apr 30, 2026 | 3.44 Mn |
| Jan 31, 2026 | 4.89 Mn |
| Oct 31, 2025 | 3.24 Mn |
| Jul 31, 2025 | 4.64 Mn |
| Apr 30, 2025 | 3.40 Mn |
| Jan 31, 2025 | 4.72 Mn |
| Oct 31, 2024 | 2.82 Mn |
| Jul 31, 2024 | 4.30 Mn |
| Apr 30, 2024 | 3.11 Mn |
| Jan 31, 2024 | 3.90 Mn |
| Oct 31, 2023 | 531,000.00 |
| Jul 31, 2023 | 2.98 Mn |
| Apr 30, 2023 | -19,000.00 |
| Jan 31, 2023 | 3.92 Mn |
| Oct 31, 2022 | -99,000.00 |
| Jul 31, 2022 | 5.09 Mn |
| Apr 30, 2022 | -109,000.00 |
| Jan 31, 2022 | 7.38 Mn |
| Oct 31, 2021 | 4.05 Mn |
Descartes Systems Operating Leases 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=operating-leases&ticker=DSGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();