Falcon's Beyond Global (FBYD) EBITDA (2023 - 2026)
Falcon's Beyond Global's EBITDA came in at -$132,000 for Q2 2026, compared with -$1.31 million a year earlier.
Falcon's Beyond Global (FBYD) EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Falcon's Beyond Global reported EBITDA of -$6.03 million; for FY2025, it was -$13.06 million.
- Going back by year, EBITDA was -$15.86 million in FY2024, -$55.58 million in FY2023 and -$16.6 million in FY2022.
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.02 Bn | 85.39 Bn | 2.01 Bn | 1.34 Bn |
| 2 | Ferrovial | 43.70 Bn | 22.89 Bn | - | - |
| 3 | Emcor | 28.68 Bn | 24.95 Bn | 1.11 Bn | 603.08 Mn |
| 4 | Jacobs Solutions | 18.34 Bn | 13.01 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 14.75 Bn | 13.28 Bn | 660.86 Mn | 445.67 Mn |
| 6 | Sterling Infrastructure | 9.21 Bn | 7.62 Bn | 377.28 Mn | 334.96 Mn |
| 7 | Aecom | 9.03 Bn | 4.15 Bn | -34.04 Mn | -20.06 Mn |
| 8 | Stantec | 8.62 Bn | 7.79 Bn | - | - |
| 9 | IES Holdings | 7.17 Bn | 6.03 Bn | 340.66 Mn | 195.65 Mn |
| 10 | Falcon's Beyond Global | 336.41 Mn | 325.98 Mn | -1.31 Mn | -132,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -132,000.00 |
| Dec 31, 2025 | -1.90 Mn |
| Sep 30, 2025 | -2.69 Mn |
| Jun 30, 2025 | -1.31 Mn |
| Mar 31, 2025 | -6.34 Mn |
| Dec 31, 2024 | -4.57 Mn |
| Sep 30, 2024 | -1.63 Mn |
| Jun 30, 2024 | -3.52 Mn |
| Mar 31, 2024 | -5.31 Mn |
| Dec 31, 2023 | -20.27 Mn |
| Sep 30, 2023 | -20.35 Mn |
| Jun 30, 2023 | -7.41 Mn |
| Mar 31, 2023 | -7.56 Mn |
Falcon's Beyond Global 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=FBYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "FBYD", "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=FBYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();