Falcon's Beyond Global (FBYDW) Non Operating Interest Expenses (2023 - 2026)
Falcon's Beyond Global (FBYDW) reported Non Operating Interest Expenses of $218,000 for Q2 2026, down 74.1% from $841,000 a year earlier.
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Falcon's Beyond Global (FBYDW) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Falcon's Beyond Global's Non Operating Interest Expenses came in at $2.27 million, down 32.6% year-over-year; for FY2025, it was $3.38 million, up 78.3% from FY2024.
- Non Operating Interest Expenses has increased for three consecutive years, with a three-year compound annual growth rate of 44.9% (FY2022 to FY2025).
- By year, Non Operating Interest Expenses came in at $1.9 million in FY2024 (+68.9%), $1.12 million in FY2023 (+1.0%) and $1.11 million in FY2022.
- The Q2 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2023.
- Year over year, Non Operating Interest Expenses gained in five of the last seven quarters, with growth averaging 103.8%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2025 (growth of 395.2%); the low point was Q2 2026 (a decline of 74.1%).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218,000.00 |
| Dec 31, 2025 | 280,000.00 |
| Sep 30, 2025 | 930,000.00 |
| Jun 30, 2025 | 841,000.00 |
| Mar 31, 2025 | 1.33 Mn |
| Dec 31, 2024 | 770,000.00 |
| Sep 30, 2024 | 421,000.00 |
| Jun 30, 2024 | 438,000.00 |
| Mar 31, 2024 | 269,000.00 |
| Dec 31, 2023 | 237,000.00 |
| Sep 30, 2023 | 321,000.00 |
| Jun 30, 2023 | 295,000.00 |
API Access
Falcon's Beyond Global Non Operating Interest 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=non-operating-interest-expenses&ticker=FBYDW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FBYDW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=FBYDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();