Descartes Systems (DSGX) EV to EBITDA (2009 - 2026)
Descartes Systems' EV to EBITDA was 18.57 in the quarter ended Jul 31, 2026, down 42.9% from 32.52 a year earlier and down 0.7% from the prior quarter.
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Analysis
Descartes Systems (DSGX) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Descartes Systems' EV to EBITDA was 15.47 through Jul 31, 2026, down 49.0% year-over-year; for the year ended Jan 31, 2026, it was 20.45, down 45.6% from the prior year.
- In earlier years, EV to EBITDA was 37.60 in the year ended Jan 31, 2025 (+10.0%), 34.19 in the year ended Jan 31, 2024 (+13.2%), 30.21 in the year ended Jan 31, 2023 (-14.9%) and 35.51 in the year ended Jan 31, 2022 (-6.0%).
- The figure for the quarter ended Jul 31, 2026 marks the lowest quarterly EV to EBITDA since the quarter ended Jul 31, 2014.
- Compared with a year earlier, EV to EBITDA has declined for six straight quarters, with an average decline of 23.9% over the last seven quarters.
- The best year-over-year quarter for EV to EBITDA over five years was the quarter ended Jul 31, 2024 (growth of 16.8%); the worst was the quarter ended Jan 31, 2026 (a decline of 45.6%).
- Per Business Quant data, DSGX's EV to EBITDA in the three quarters before the quarter ended Jul 31, 2026 was 18.70 (quarter ended Apr 30, 2026), 20.45 (quarter ended Jan 31, 2026) and 25.50 (quarter ended Oct 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn |
| 10 | Descartes Systems | 6.84 Bn | 5.42 Bn | 156.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 18.57 |
| Apr 30, 2026 | 18.70 |
| Jan 31, 2026 | 20.45 |
| Oct 31, 2025 | 25.50 |
| Jul 31, 2025 | 32.52 |
| Apr 30, 2025 | 33.32 |
| Jan 31, 2025 | 37.60 |
| Oct 31, 2024 | 35.88 |
| Jul 31, 2024 | 36.45 |
| Apr 30, 2024 | 35.08 |
| Jan 31, 2024 | 34.16 |
| Jul 31, 2023 | 31.20 |
| Apr 30, 2023 | 33.06 |
| Jan 31, 2023 | 31.56 |
| Jul 31, 2022 | 31.37 |
| Apr 30, 2022 | 29.74 |
| Jan 31, 2022 | 37.12 |
| Jul 31, 2021 | 40.45 |
| Apr 30, 2021 | 38.43 |
| Jan 31, 2021 | 38.85 |
API Access
Descartes Systems EV to 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=ev-to-ebitda&ticker=DSGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=DSGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();