Kodiak Sciences (KOD) Accumulated Depreciation (2017 - 2025)
Kodiak Sciences (KOD) recorded Accumulated Depreciation of $59.47 million in Q4 2025, up 44.1% from $41.26 million a year earlier.
Analysis
Kodiak Sciences (KOD) Accumulated Depreciation (2017 - 2025) Analysis & Trends
Starting with Q4 2017, Kodiak Sciences' Accumulated Depreciation history includes 10 quarters.
- Annual Accumulated Depreciation has increased for eight straight years, with a five-year compound annual growth rate of 93.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Depreciation came in at $41.26 million in FY2024 (+83.0%), $22.55 million in FY2023 (+235.4%), $6.72 million in FY2022 (+128.8%) and $2.94 million in FY2021 (+35.4%).
- The Q4 2025 figure is 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 | Kodiak Sciences | 5.96 Bn | 5.96 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 59.47 Mn |
| Dec 31, 2024 | 41.26 Mn |
| Dec 31, 2023 | 22.55 Mn |
| Dec 31, 2022 | 6.72 Mn |
| Dec 31, 2021 | 2.94 Mn |
| Dec 31, 2020 | 2.17 Mn |
| Dec 31, 2019 | 1.77 Mn |
| Dec 31, 2018 | 1.69 Mn |
| Sep 30, 2018 | 1.82 Mn |
| Dec 31, 2017 | 1.45 Mn |
API Access
Kodiak Sciences 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=KOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "KOD", "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=KOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();