Equillium (EQ) Accumulated Depreciation (2017 - 2025)
Equillium's Accumulated Depreciation came in at $562,000 for Q4 2025, up 12.6% from $499,000 a year earlier.
Analysis
Equillium (EQ) Accumulated Depreciation (2017 - 2025) Analysis & Trends
Going back to Q4 2017, Equillium's Accumulated Depreciation data covers 9 quarters.
- Accumulated Depreciation has increased in each of the last seven years, with a five-year compound annual growth rate of 50.0% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $499,000 in FY2024 (+37.1%), $364,000 in FY2023 (+46.2%), $249,000 in FY2022 (+69.4%) and $147,000 in FY2021 (+98.6%).
- The Q4 2025 figure represents the highest quarterly Accumulated Depreciation in data going back to 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 | Equillium | 181.13 Mn | 181.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 562,000.00 |
| Dec 31, 2024 | 499,000.00 |
| Dec 31, 2023 | 364,000.00 |
| Dec 31, 2022 | 249,000.00 |
| Dec 31, 2021 | 147,000.00 |
| Dec 31, 2020 | 74,000.00 |
| Dec 31, 2019 | 29,000.00 |
| Dec 31, 2018 | 6,000.00 |
| Dec 31, 2017 | 122.00 |
API Access
Equillium 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=EQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "EQ", "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=EQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();