FibroBiologics (FBLG) EPS (Diluted) (2023 - 2026)
FibroBiologics (FBLG) posted EPS (Diluted) of -$0.66 for Q2 2026, compared with -$2.41 a year earlier.
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Analysis
FibroBiologics (FBLG) EPS (Diluted) (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at FibroBiologics was -$2.89; for FY2025, it was -$8.35.
- In prior years, FibroBiologics' EPS (Diluted) was -$6.79 in FY2024, -$13.50 in FY2023 and -$3.63 in FY2022.
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) since Q3 2024.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was -$1.33 (Q1 2026), -$1.45 (Q4 2025) and -$2.68 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,129.67 Bn | 1,098.26 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 634.09 Bn | 553.95 Bn | 17.30 Bn | 0.09 |
| 3 | AbbVie | 505.39 Bn | 478.51 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 357.99 Bn | 312.37 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 290.73 Bn | 254.72 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 264.96 Bn | 238.64 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 237.91 Bn | 193.31 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 194.88 Bn | 169.07 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | -0.04 |
| 10 | FibroBiologics | 6.15 Mn | -8.67 Mn | - | -0.66 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.66 |
| Mar 31, 2026 | -1.33 |
| Dec 31, 2025 | -1.45 |
| Sep 30, 2025 | -2.68 |
| Jun 30, 2025 | -2.41 |
| Mar 31, 2025 | -2.71 |
| Dec 31, 2024 | -1.89 |
| Sep 30, 2024 | -0.30 |
| Jun 30, 2024 | 0.55 |
| Mar 31, 2024 | -5.43 |
| Dec 31, 2023 | -6.88 |
| Sep 30, 2023 | -1.55 |
| Jun 30, 2023 | -1.53 |
| Mar 31, 2023 | -3.53 |
API Access
FibroBiologics EPS (Diluted) 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=eps-diluted&ticker=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();