Kodiak Sciences (KOD) Accumulated Expenses (2017 - 2026)
Kodiak Sciences' Accumulated Expenses was $30.32 million in Q2 2026, up 106.7% from $14.67 million a year earlier and up 14.1% from the prior quarter.
Kodiak Sciences (KOD) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Kodiak Sciences came in at $20.61 million, up 86.8% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $11.03 million in FY2024 (-39.9%), $18.35 million in FY2023 (-45.1%), $33.44 million in FY2022 (-30.8%) and $48.32 million in FY2021 (+136.8%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q2 2023.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 43.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2022 (growth of 142.1%); the worst was Q2 2024 (a decline of 82.5%).
- Per Business Quant data, KOD's Accumulated Expenses in the three quarters before Q2 2026 was $26.57 million (Q1 2026), $20.61 million (Q4 2025) and $20.31 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.32 Mn |
| Mar 31, 2026 | 26.57 Mn |
| Dec 31, 2025 | 20.61 Mn |
| Sep 30, 2025 | 20.31 Mn |
| Jun 30, 2025 | 14.67 Mn |
| Mar 31, 2025 | 13.39 Mn |
| Dec 31, 2024 | 11.03 Mn |
| Sep 30, 2024 | 10.57 Mn |
| Jun 30, 2024 | 9.44 Mn |
| Mar 31, 2024 | 12.77 Mn |
| Dec 31, 2023 | 18.35 Mn |
| Sep 30, 2023 | 23.17 Mn |
| Jun 30, 2023 | 54.04 Mn |
| Mar 31, 2023 | 54.73 Mn |
| Dec 31, 2022 | 33.44 Mn |
| Sep 30, 2022 | 40.87 Mn |
| Jun 30, 2022 | 43.16 Mn |
| Mar 31, 2022 | 58.28 Mn |
| Dec 31, 2021 | 48.32 Mn |
| Sep 30, 2021 | 39.02 Mn |
Kodiak Sciences Accumulated Expenses 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-expenses&ticker=KOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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-expenses&ticker=KOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();