FibroBiologics (FBLG) Selling, General & Administrative (2023 - 2026)
FibroBiologics (FBLG) reported Selling, General & Administrative of $2.38 million for Q2 2026, down 3.0% from $2.45 million a year earlier but up 12.3% from the prior quarter.
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Analysis
FibroBiologics (FBLG) Selling, General & Administrative (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, FibroBiologics' Selling, General & Administrative came in at $8.53 million, down 12.0% year-over-year; for FY2025, it was $9.24 million, up 0.1% from FY2024.
- Selling, General & Administrative has increased for three consecutive years, with a three-year compound annual growth rate of 40.7% (FY2022 to FY2025).
- By year, Selling, General & Administrative came in at $9.23 million in FY2024 (+41.6%), $6.52 million in FY2023 (+96.4%) and $3.32 million in FY2022.
- Five-year quarterly Selling, General & Administrative spans a low of $1.48 million in Q3 2023 and a high of $2.75 million in Q1 2025.
- Year over year, Selling, General & Administrative has now declined in each of the last three quarters, with growth averaging 7.1% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2024 (growth of 45.5%); the low point was Q4 2025 (a decline of 23.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.12 million (Q1 2026), $1.79 million (Q4 2025) and $2.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | FibroBiologics | 6.13 Mn | -8.69 Mn | - | 2.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.38 Mn |
| Mar 31, 2026 | 2.12 Mn |
| Dec 31, 2025 | 1.79 Mn |
| Sep 30, 2025 | 2.25 Mn |
| Jun 30, 2025 | 2.45 Mn |
| Mar 31, 2025 | 2.75 Mn |
| Dec 31, 2024 | 2.36 Mn |
| Sep 30, 2024 | 2.14 Mn |
| Jun 30, 2024 | 2.25 Mn |
| Mar 31, 2024 | 2.49 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 1.55 Mn |
| Mar 31, 2023 | 1.79 Mn |
API Access
FibroBiologics Selling, General & Administrative 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=selling-general-and-administrative&ticker=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();