Bentley Systems (BSY) EBT (2019 - 2026)
Bentley Systems' (BSY) quarterly EBT came in at $95.1 million in Q2 2026, up 19.86% year-over-year from $79.3 million in Q2 2025, and down 19.81% quarter-over-quarter from $118.6 million in Q1 2026.
Bentley Systems (BSY) EBT (2019 - 2026) Analysis & Trends
Bentley Systems (BSY) has reported EBT for 8 consecutive years, with $95.1 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBT rose 19.86% year-over-year to $95.1 million in Q2 2026; TTM through Jun 2026 was $373.2 million, a 18.75% increase from a year earlier, with the FY2025 full-year figure at $350.7 million, up 19.68% from the prior year.
- EBT was $95.1 million for Q2 2026 at Bentley Systems, down from $118.6 million in the prior quarter.
- Over five years, EBT peaked at $118.6 million in Q1 2026 and troughed at $14.2 million in Q4 2023.
- A 5-year average of $68.8 million and a median of $66.9 million in 2023 frame the typical range for EBT.
- Across the five-year window, EBT sank 63.8% in 2023 and surged 353.48% in 2024, its largest moves.
- Over 5 years, EBT stood at $39.2 million in 2022, then slumped by 63.8% to $14.2 million in 2023, then surged by 353.48% to $64.3 million in 2024, then rose by 18.06% to $75.9 million in 2025, then increased by 25.28% to $95.1 million in 2026.
- The last three EBT figures came in at $95.1 million (Q2 2026), $118.6 million (Q1 2026), and $75.9 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 349.53 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 17.53 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 162.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 152.44 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | -444.80 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 45.37 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 67.21 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 74.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 95.07 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 15.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.07 Mn |
| Mar 31, 2026 | 118.56 Mn |
| Dec 31, 2025 | 75.89 Mn |
| Sep 30, 2025 | 83.71 Mn |
| Jun 30, 2025 | 79.32 Mn |
| Mar 31, 2025 | 111.83 Mn |
| Dec 31, 2024 | 64.28 Mn |
| Sep 30, 2024 | 58.87 Mn |
| Jun 30, 2024 | 77.36 Mn |
| Mar 31, 2024 | 92.55 Mn |
| Dec 31, 2023 | 14.17 Mn |
| Sep 30, 2023 | 69.59 Mn |
| Jun 30, 2023 | 44.79 Mn |
| Mar 31, 2023 | 54.98 Mn |
| Dec 31, 2022 | 39.15 Mn |
| Sep 30, 2022 | 47.34 Mn |
| Jun 30, 2022 | 51.59 Mn |
| Mar 31, 2022 | 60.19 Mn |
| Dec 31, 2021 | 40.87 Mn |
| Sep 30, 2021 | -42.33 Mn |
Bentley Systems EBT 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=ebt&ticker=BSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "ticker": "BSY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebt&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();