Descartes Systems (DSGX) EBITDA (2009 - 2026)
Descartes Systems (DSGX) recorded EBITDA of $85.13 million in the quarter ended Jul 31, 2026, up 21.3% from $70.19 million a year earlier and up 4.7% from the prior quarter.
Descartes Systems (DSGX) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Descartes Systems' EBITDA came in at $326.57 million as of Jul 31, 2026, up 21.1% year-over-year; for the year ended Jan 31, 2026, it was $297.11 million, up 16.0% from the prior year.
- Annual EBITDA has increased for seven straight years, with a five-year compound annual growth rate of 17.4% (years ended Jan 2021 to Jan 2026).
- Across earlier years, EBITDA came in at $256.11 million in the year ended Jan 31, 2025 (+22.6%), $208.82 million in the year ended Jan 31, 2024 (+6.6%), $195.84 million in the year ended Jan 31, 2023 (+16.8%) and $167.66 million in the year ended Jan 31, 2022 (+26.0%).
- The figure for the quarter ended Jul 31, 2026 is the highest quarterly EBITDA in data going back to the quarter ended Jan 31, 2009.
- On a year-over-year basis, EBITDA has increased for seven consecutive quarters, with growth averaging 19.1% over the last seven quarters.
- Over the past five years, the year-over-year growth in EBITDA ranged from 8.6% (the quarter ended Jul 31, 2025) to 27.0% (the quarter ended Jan 31, 2025).
- Per Business Quant, the preceding three quarters came in at $81.28 million (quarter ended Apr 30, 2026), $81.4 million (quarter ended Jan 31, 2026) and $78.76 million (quarter ended Oct 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Descartes Systems | 6.78 Bn | 5.37 Bn | 156.71 Mn | 85.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 85.13 Mn |
| Apr 30, 2026 | 81.28 Mn |
| Jan 31, 2026 | 81.40 Mn |
| Oct 31, 2025 | 78.76 Mn |
| Jul 31, 2025 | 70.19 Mn |
| Apr 30, 2025 | 66.76 Mn |
| Jan 31, 2025 | 68.00 Mn |
| Oct 31, 2024 | 64.70 Mn |
| Jul 31, 2024 | 64.65 Mn |
| Apr 30, 2024 | 58.77 Mn |
| Jan 31, 2024 | 53.54 Mn |
| Jul 31, 2023 | 53.68 Mn |
| Apr 30, 2023 | 52.50 Mn |
| Jan 31, 2023 | 49.32 Mn |
| Jul 31, 2022 | 48.93 Mn |
| Apr 30, 2022 | 46.89 Mn |
| Jan 31, 2022 | 42.36 Mn |
| Jul 31, 2021 | 42.32 Mn |
| Apr 30, 2021 | 38.45 Mn |
| Jan 31, 2021 | 37.27 Mn |
Descartes Systems EBITDA 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=ebitda&ticker=DSGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();