FibroBiologics (FBLG) Operating Expenses (2023 - 2026)
FibroBiologics (FBLG) recorded Operating Expenses of $4.03 million in Q2 2026, down 10.2% from $4.49 million a year earlier and down 20.4% from the prior quarter.
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Analysis
FibroBiologics (FBLG) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, FibroBiologics' Operating Expenses came in at $16.73 million as of Jun 30, 2026, up 4.0% year-over-year; for FY2025, it came in at $16.65 million, up 21.2% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a three-year compound annual growth rate of 55.0% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $13.74 million in FY2024 (+54.5%), $8.89 million in FY2023 (+99.0%) and $4.47 million in FY2022.
- Quarterly Operating Expenses has ranged from $2.05 million in Q3 2023 to $5.07 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 25.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 63.4% in Q3 2024, against a decline of 30.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.07 million (Q1 2026), $2.59 million (Q4 2025) and $5.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | FibroBiologics | 6.13 Mn | -8.69 Mn | - | 4.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.03 Mn |
| Mar 31, 2026 | 5.07 Mn |
| Dec 31, 2025 | 2.59 Mn |
| Sep 30, 2025 | 5.04 Mn |
| Jun 30, 2025 | 4.49 Mn |
| Mar 31, 2025 | 4.53 Mn |
| Dec 31, 2024 | 3.71 Mn |
| Sep 30, 2024 | 3.35 Mn |
| Jun 30, 2024 | 3.22 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 2.48 Mn |
| Sep 30, 2023 | 2.05 Mn |
| Jun 30, 2023 | 2.09 Mn |
| Mar 31, 2023 | 2.27 Mn |
API Access
FibroBiologics Operating 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=operating-expenses&ticker=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();