FibroBiologics (FBLG) Retained Earnings (2022 - 2026)
FibroBiologics' Retained Earnings came in at -$63.3 million for Q2 2026, compared with -$45.14 million a year earlier.
Analysis
FibroBiologics (FBLG) Retained Earnings (2022 - 2026) Analysis & Trends
At the end of FY2025, FibroBiologics' Retained Earnings was -$54.16 million.
- Going back by year, Retained Earnings was -$35.52 million in FY2024, -$24.36 million in FY2023 and -$7.87 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Retained Earnings in data going back to Q4 2022.
- Business Quant data shows FBLG's Retained Earnings at -$59.2 million (Q1 2026), -$54.16 million (Q4 2025) and -$50.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 171.67 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -17.33 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 63.27 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 40.86 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 12.59 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | -22.28 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 2.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 112.09 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 15.69 Bn |
| 10 | FibroBiologics | 8.66 Mn | 8.66 Mn | - | -63.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -63.30 Mn |
| Mar 31, 2026 | -59.20 Mn |
| Dec 31, 2025 | -54.16 Mn |
| Sep 30, 2025 | -50.92 Mn |
| Jun 30, 2025 | -45.14 Mn |
| Mar 31, 2025 | -40.48 Mn |
| Dec 31, 2024 | -35.52 Mn |
| Sep 30, 2024 | -32.42 Mn |
| Jun 30, 2024 | -31.92 Mn |
| Mar 31, 2024 | -32.82 Mn |
| Dec 31, 2023 | -24.36 Mn |
| Dec 31, 2022 | -7.87 Mn |
API Access
FibroBiologics Retained Earnings 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=retained-earnings&ticker=FBLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();