Descartes Systems (DSGX) Total Non-Current Liabilities (2009 - 2026)
Descartes Systems (DSGX) recorded Total Non-Current Liabilities of $294.78 million in the quarter ended Jul 31, 2026, up 18.5% from $248.75 million a year earlier.
Descartes Systems (DSGX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
As of Jan 31, 2026, Descartes Systems reported Total Non-Current Liabilities of $265.99 million, up 4.8% from the prior year.
- Annual Total Non-Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 13.1% (years ended Jan 2021 to Jan 2026).
- Across earlier years, Total Non-Current Liabilities came in at $253.71 million in the year ended Jan 31, 2025 (+26.2%), $201.11 million in the year ended Jan 31, 2024 (+8.3%), $185.7 million in the year ended Jan 31, 2023 (+7.6%) and $172.62 million in the year ended Jan 31, 2022 (+19.9%).
- The figure for the quarter ended Jul 31, 2026 is the highest quarterly Total Non-Current Liabilities in data going back to the quarter ended Jan 31, 2009.
- On a year-over-year basis, Total Non-Current Liabilities rose in three of the last four quarters, with growth averaging 12.4%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 27.4% in the quarter ended Jul 31, 2024, against a decline of 2.3% in the quarter ended Jul 31, 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Descartes Systems | 6.96 Bn | 5.54 Bn | 156.71 Mn | 294.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 294.78 Mn |
| Jan 31, 2026 | 265.99 Mn |
| Jul 31, 2025 | 248.75 Mn |
| Jan 31, 2025 | 253.71 Mn |
| Jul 31, 2024 | 248.84 Mn |
| Jan 31, 2024 | 201.11 Mn |
| Jul 31, 2023 | 195.37 Mn |
| Jan 31, 2023 | 185.70 Mn |
| Jul 31, 2022 | 199.99 Mn |
| Jan 31, 2022 | 172.62 Mn |
| Jan 31, 2021 | 143.96 Mn |
| Jan 31, 2020 | -118.66 Bn |
| Jan 31, 2019 | 3.20 Mn |
| Apr 30, 2018 | 3.35 Mn |
| Jan 31, 2018 | -340.93 Mn |
| Jan 31, 2017 | -34.61 Bn |
| Jan 31, 2016 | 47.09 Mn |
| Jan 31, 2015 | 50.37 Mn |
| Jan 31, 2014 | 89.92 Mn |
| Jan 31, 2013 | 34.10 Mn |
Descartes Systems Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DSGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();