FibroBiologics (FBLG) Accumulated Depreciation (2023 - 2026)
FibroBiologics (FBLG) posted Accumulated Depreciation of $580,000 for Q2 2026, up 83.0% from $317,000 a year earlier and up 12.8% from the prior quarter.
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Analysis
FibroBiologics (FBLG) Accumulated Depreciation (2023 - 2026) Analysis & Trends
At the end of FY2025, FibroBiologics' Accumulated Depreciation came in at $448,000, up 119.6% from FY2024.
- In prior years, FibroBiologics' Accumulated Depreciation was $204,000 in FY2024 (+334.0%) and $47,000 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Accumulated Depreciation in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Depreciation has increased in each of the last five quarters, with growth averaging 157.7% over the last six quarters.
- According to Business Quant data, Accumulated Depreciation for the three prior quarters was $514,000 (Q1 2026), $448,000 (Q4 2025) and $382,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | FibroBiologics | 8.66 Mn | 8.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 580,000.00 |
| Mar 31, 2026 | 514,000.00 |
| Dec 31, 2025 | 448,000.00 |
| Sep 30, 2025 | 382,000.00 |
| Jun 30, 2025 | 317,000.00 |
| Mar 31, 2025 | 257,000.00 |
| Dec 31, 2024 | 204,000.00 |
| Sep 30, 2024 | 157,000.00 |
| Jun 30, 2024 | 119,000.00 |
| Dec 31, 2023 | 47,000.00 |
API Access
FibroBiologics Accumulated Depreciation 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=accumulated-depreciation&ticker=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();