Bentley Systems (BSY) EBITDA (2019 - 2026)
Bentley Systems (BSY) posted EBITDA of $104.66 million for Q2 2026, up 4.5% from $100.18 million a year earlier but down 26.5% from the prior quarter.
Bentley Systems (BSY) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Bentley Systems was $444.56 million, up 13.0% year-over-year; for FY2025, it was $428.5 million, up 16.8% from FY2024.
- Annual EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In prior years, Bentley Systems' EBITDA was $366.76 million in FY2024 (+21.3%), $302.4 million in FY2023 (+7.9%), $280.15 million in FY2022 (+90.1%) and $147.38 million in FY2021 (-20.9%).
- Quarterly EBITDA has run from a low of -$20.87 million in Q3 2021 to a high of $142.4 million in Q1 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last seven quarters, with growth averaging 13.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 70.7%; the weakest was Q3 2024, with a decline of 7.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $142.4 million (Q1 2026), $94.27 million (Q4 2025) and $103.23 million (Q3 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 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 104.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.66 Mn |
| Mar 31, 2026 | 142.40 Mn |
| Dec 31, 2025 | 94.27 Mn |
| Sep 30, 2025 | 103.23 Mn |
| Jun 30, 2025 | 100.18 Mn |
| Mar 31, 2025 | 130.82 Mn |
| Dec 31, 2024 | 77.62 Mn |
| Sep 30, 2024 | 84.66 Mn |
| Jun 30, 2024 | 96.16 Mn |
| Mar 31, 2024 | 108.32 Mn |
| Dec 31, 2023 | 56.85 Mn |
| Sep 30, 2023 | 91.16 Mn |
| Jun 30, 2023 | 70.55 Mn |
| Mar 31, 2023 | 83.84 Mn |
| Dec 31, 2022 | 58.65 Mn |
| Sep 30, 2022 | 73.46 Mn |
| Jun 30, 2022 | 74.24 Mn |
| Mar 31, 2022 | 73.80 Mn |
| Dec 31, 2021 | 60.12 Mn |
| Sep 30, 2021 | -20.87 Mn |
Bentley 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=BSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();