FibroBiologics (FBLG) Other Non Operating Income (2023 - 2026)
FibroBiologics' Other Non Operating Income came in at -$92,000 for Q2 2026, compared with -$625,000 a year earlier.
FibroBiologics (FBLG) Other Non Operating Income (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, FibroBiologics reported Other Non Operating Income of -$1.75 million; for FY2025, it came in at -$1.77 million.
- Going back by year, Other Non Operating Income was -$5.39 million in FY2024 and $7.24 million in FY2023.
- The five-year range for quarterly Other Non Operating Income is -$5.53 million (Q2 2024) to $7.45 million (Q4 2023).
- Business Quant data shows FBLG's Other Non Operating Income at -$2,000 (Q1 2026), -$810,000 (Q4 2025) and -$846,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | FibroBiologics | 8.06 Mn | 8.06 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -92,000.00 |
| Mar 31, 2026 | -2,000.00 |
| Dec 31, 2025 | -810,000.00 |
| Sep 30, 2025 | -846,000.00 |
| Jun 30, 2025 | -625,000.00 |
| Mar 31, 2025 | -451,000.00 |
| Dec 31, 2024 | -1.04 Mn |
| Sep 30, 2024 | -1.93 Mn |
| Jun 30, 2024 | -5.53 Mn |
| Mar 31, 2024 | 3.10 Mn |
| Dec 31, 2023 | 7.45 Mn |
| Sep 30, 2023 | -141,000.00 |
| Jun 30, 2023 | -57,000.00 |
FibroBiologics Other Non Operating Income 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=other-non-operating-income&ticker=FBLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-operating-income", "ticker": "FBLG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-operating-income&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();