Kodiak Sciences (KOD) Total Current Liabilities (2017 - 2026)
Kodiak Sciences (KOD) reported Total Current Liabilities of $52.77 million for Q2 2026, up 70.2% from $31.01 million a year earlier and up 6.4% from the prior quarter.
Kodiak Sciences (KOD) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Kodiak Sciences posted Total Current Liabilities of $45.53 million, up 78.1% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $25.57 million in FY2024 (-38.7%), $41.73 million in FY2023 (-20.5%), $52.5 million in FY2022 (-18.8%) and $64.68 million in FY2021 (+105.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q3 2023.
- Year over year, Total Current Liabilities has now increased in each of the last six quarters, with growth averaging 31.4% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2021 (growth of 141.7%); the low point was Q2 2024 (a decline of 71.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.57 million (Q1 2026), $45.53 million (Q4 2025) and $42.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Kodiak Sciences | 5.69 Bn | 5.11 Bn | - | 52.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.77 Mn |
| Mar 31, 2026 | 49.57 Mn |
| Dec 31, 2025 | 45.53 Mn |
| Sep 30, 2025 | 42.43 Mn |
| Jun 30, 2025 | 31.01 Mn |
| Mar 31, 2025 | 30.88 Mn |
| Dec 31, 2024 | 25.57 Mn |
| Sep 30, 2024 | 24.06 Mn |
| Jun 30, 2024 | 21.20 Mn |
| Mar 31, 2024 | 24.86 Mn |
| Dec 31, 2023 | 41.73 Mn |
| Sep 30, 2023 | 70.77 Mn |
| Jun 30, 2023 | 74.24 Mn |
| Mar 31, 2023 | 68.94 Mn |
| Dec 31, 2022 | 52.50 Mn |
| Sep 30, 2022 | 65.60 Mn |
| Jun 30, 2022 | 69.83 Mn |
| Mar 31, 2022 | 76.33 Mn |
| Dec 31, 2021 | 64.68 Mn |
| Sep 30, 2021 | 54.40 Mn |
Kodiak Sciences Total Current Liabilities 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=total-current-liabilities&ticker=KOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=KOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();