PDS Biotechnology (PDSB) Accumulated Depreciation (2014 - 2025)
PDS Biotechnology's Accumulated Depreciation came in at $175,727 for Q4 2025, up 14.2% from $153,891 a year earlier.
Analysis
PDS Biotechnology (PDSB) Accumulated Depreciation (2014 - 2025) Analysis & Trends
Going back to Q4 2014, PDS Biotechnology's Accumulated Depreciation data covers 12 quarters.
- Accumulated Depreciation has increased in each of the last seven years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $153,891 in FY2024 (+15.9%), $132,779 in FY2023 (+15.0%), $115,420 in FY2022 (+0.1%) and $115,334 in FY2021 (+4.9%).
- The Q4 2025 figure represents the highest quarterly Accumulated Depreciation since Q4 2017.
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 | PDS Biotechnology | 41.94 Mn | 41.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 175,727.00 |
| Dec 31, 2024 | 153,891.00 |
| Dec 31, 2023 | 132,779.00 |
| Dec 31, 2022 | 115,420.00 |
| Dec 31, 2021 | 115,334.00 |
| Dec 31, 2020 | 109,977.00 |
| Dec 31, 2019 | 94,369.00 |
| Dec 31, 2018 | 72,291.00 |
| Dec 31, 2017 | 305,281.00 |
| Dec 31, 2016 | 122,363.00 |
| Dec 31, 2015 | 91,392.00 |
| Dec 31, 2014 | 38,276.00 |
API Access
PDS Biotechnology 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=PDSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "PDSB", "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=PDSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();