Descartes Systems (DSGX) Total Liabilities (2009 - 2026)
Descartes Systems (DSGX) posted Total Liabilities of $312.32 million for the quarter ended Jul 31, 2026, up 21.9% from $256.14 million a year earlier.
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Analysis
Descartes Systems (DSGX) Total Liabilities (2009 - 2026) Analysis & Trends
As of Jan 31, 2026, Descartes Systems' Total Liabilities came in at $276.75 million, up 5.5% from the prior year.
- Annual Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 12.7% (years ended Jan 2021 to Jan 2026).
- In prior years, Descartes Systems' Total Liabilities was $262.38 million in the year ended Jan 31, 2025 (+11.1%), $236.25 million in the year ended Jan 31, 2024 (+9.0%), $216.65 million in the year ended Jan 31, 2023 (+16.7%) and $185.61 million in the year ended Jan 31, 2022 (+21.9%).
- The figure for the quarter ended Jul 31, 2026 stands as the highest quarterly Total Liabilities in data going back to the quarter ended Jan 31, 2009.
- The year-over-year growth in Total Liabilities has ranged between 1.0% (the quarter ended Jul 31, 2025) and 22.0% (the quarter ended Jan 31, 2022) over the last five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Descartes Systems | 6.78 Bn | 5.37 Bn | 156.71 Mn | 312.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 312.32 Mn |
| Jan 31, 2026 | 276.75 Mn |
| Jul 31, 2025 | 256.14 Mn |
| Jan 31, 2025 | 262.38 Mn |
| Jul 31, 2024 | 253.66 Mn |
| Jan 31, 2024 | 236.25 Mn |
| Jul 31, 2023 | 242.32 Mn |
| Jan 31, 2023 | 216.65 Mn |
| Jul 31, 2022 | 208.30 Mn |
| Jan 31, 2022 | 185.61 Mn |
| Jan 31, 2021 | 152.19 Mn |
| Jan 31, 2020 | 120.89 Mn |
| Jan 31, 2019 | 25.53 Mn |
| Apr 30, 2018 | 24.96 Mn |
| Jan 31, 2018 | 126.07 Mn |
| Jan 31, 2017 | 69.91 Mn |
| Jan 31, 2016 | 50.77 Mn |
| Jan 31, 2015 | 53.82 Mn |
| Jan 31, 2014 | 94.34 Mn |
| Jan 31, 2013 | 37.87 Mn |
API Access
Descartes Systems Total 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-liabilities&ticker=DSGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();