Bentley Systems (BSY) EBITDA (2019 - 2026)
Bentley Systems (BSY) posted EBITDA of $105.71 million for Q2 2026, up 3.6% from $102.07 million a year earlier but down 26.4% 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 $450.53 million, up 12.4% year-over-year; for FY2025, it was $436.08 million, up 16.6% from FY2024.
- Annual EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In prior years, Bentley Systems' EBITDA was $374.1 million in FY2024 (+20.8%), $309.69 million in FY2023 (+7.7%), $287.44 million in FY2022 (+87.5%) and $153.34 million in FY2021 (-18.1%).
- Quarterly EBITDA has run from a low of -$19.09 million in Q3 2021 to a high of $143.54 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 13.4% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 70.5%; the weakest was Q3 2024, with a decline of 7.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $143.54 million (Q1 2026), $96.16 million (Q4 2025) and $105.13 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 | 49.39 Bn | 21.63 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 190.70 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 205.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 82.71 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 137.91 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 192.70 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 215.00 Mn |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | 26.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 137.91 Mn |
| Jun 30, 2026 | 105.71 Mn |
| Mar 31, 2026 | 143.54 Mn |
| Dec 31, 2025 | 96.16 Mn |
| Sep 30, 2025 | 105.13 Mn |
| Jun 30, 2025 | 102.07 Mn |
| Mar 31, 2025 | 132.72 Mn |
| Dec 31, 2024 | 79.41 Mn |
| Sep 30, 2024 | 86.46 Mn |
| Jun 30, 2024 | 98.09 Mn |
| Mar 31, 2024 | 110.14 Mn |
| Dec 31, 2023 | 58.67 Mn |
| Sep 30, 2023 | 92.99 Mn |
| Jun 30, 2023 | 72.38 Mn |
| Mar 31, 2023 | 85.67 Mn |
| Dec 31, 2022 | 60.48 Mn |
| Sep 30, 2022 | 75.28 Mn |
| Jun 30, 2022 | 76.10 Mn |
| Mar 31, 2022 | 75.58 Mn |
| Dec 31, 2021 | 61.91 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();