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 | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Descartes Systems | 6.78 Bn | 5.37 Bn | 156.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.33 Mn |
| Apr 30, 2026 | 3.44 Mn |
| Jan 31, 2026 | 3.47 Mn |
| Oct 31, 2025 | 3.24 Mn |
| Jul 31, 2025 | 3.34 Mn |
| Apr 30, 2025 | -59,000.00 |
| Jan 31, 2025 | 3.18 Mn |
| Oct 31, 2024 | 2.82 Mn |
| Jul 31, 2024 | 2.95 Mn |
| Apr 30, 2024 | -3.10 Mn |
| Jan 31, 2024 | 3.08 Mn |
| Jul 31, 2023 | 3.18 Mn |
| Apr 30, 2023 | -19,000.00 |
| Jan 31, 2023 | 3.40 Mn |
| Jul 31, 2022 | 3.60 Mn |
| Apr 30, 2022 | -109,000.00 |
| Jan 31, 2022 | 4.03 Mn |
| Jul 31, 2021 | 7.84 Mn |
| Apr 30, 2021 | 8.41 Mn |
| Jan 31, 2021 | 4.17 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();