Falcon's Beyond Global (FBYD) Accumulated Expenses (2022 - 2026)
Falcon's Beyond Global's Accumulated Expenses was $6.22 million in Q2 2026, up 602.3% from $886,000 a year earlier.
Analysis
Falcon's Beyond Global (FBYD) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Falcon's Beyond Global came in at $16.43 million.
- Accumulated Expenses shows a three-year compound annual growth rate of 181.4% (FY2022 to FY2025).
- In earlier years, Accumulated Expenses was $660,000 in FY2024 (+38.9%), $475,000 in FY2023 (-35.5%) and $737,000 in FY2022.
- Quarterly Accumulated Expenses has moved between $391,000 (Q3 2025) and $16.43 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last five quarters, with growth averaging 117.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - |
| 10 | Falcon's Beyond Global | 813.39 Mn | 792.88 Mn | -1.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.22 Mn |
| Dec 31, 2025 | 16.43 Mn |
| Sep 30, 2025 | 391,000.00 |
| Jun 30, 2025 | 886,000.00 |
| Mar 31, 2025 | 736,000.00 |
| Dec 31, 2024 | 660,000.00 |
| Sep 30, 2024 | 2.43 Mn |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 445,000.00 |
| Dec 31, 2023 | 475,000.00 |
| Dec 31, 2022 | 737,000.00 |
API Access
Falcon's Beyond Global Accumulated Expenses 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=accumulated-expenses&ticker=FBYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FBYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();