MBX Biosciences (MBX) Accumulated Depreciation (2023 - 2026)
MBX Biosciences' Accumulated Depreciation was $813,000 in Q2 2026, up 45.2% from $560,000 a year earlier and up 10.8% from the prior quarter.
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Analysis
MBX Biosciences (MBX) Accumulated Depreciation (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Depreciation at MBX Biosciences came in at $670,000, up 58.8% from FY2024.
- In earlier years, Accumulated Depreciation was $422,000 in FY2024 (+137.1%) and $178,000 in FY2023.
- The Q2 2026 figure marks the highest quarterly Accumulated Depreciation in data going back to Q4 2023.
- Compared with a year earlier, Accumulated Depreciation has increased for four straight quarters, with growth averaging 71.1% over the last five quarters.
- Per Business Quant data, MBX's Accumulated Depreciation in the three quarters before Q2 2026 was $734,000 (Q1 2026), $670,000 (Q4 2025) and $610,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 813,000.00 |
| Mar 31, 2026 | 734,000.00 |
| Dec 31, 2025 | 670,000.00 |
| Sep 30, 2025 | 610,000.00 |
| Jun 30, 2025 | 560,000.00 |
| Mar 31, 2025 | 499,000.00 |
| Dec 31, 2024 | 422,000.00 |
| Sep 30, 2024 | 364,000.00 |
| Dec 31, 2023 | 178,000.00 |
API Access
MBX Biosciences 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=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "MBX", "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=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();