Kodiak Sciences (KOD) Total Non-Current Liabilities (2017 - 2026)
Kodiak Sciences (KOD) posted Total Non-Current Liabilities of $95.72 million for Q2 2026, up 10.7% from $86.44 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Kodiak Sciences (KOD) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Kodiak Sciences' Total Non-Current Liabilities came in at $94.15 million, up 10.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In prior years, Kodiak Sciences' Total Non-Current Liabilities was $85.29 million in FY2024 (-24.9%), $113.59 million in FY2023 (-12.9%), $130.47 million in FY2022 (-7.4%) and $140.96 million in FY2021 (+32.1%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2023.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 37.6%; the weakest was Q2 2024, with a decline of 42.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $93.91 million (Q1 2026), $94.15 million (Q4 2025) and $94.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Kodiak Sciences | 5.49 Bn | 4.91 Bn | - | 95.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.72 Mn |
| Mar 31, 2026 | 93.91 Mn |
| Dec 31, 2025 | 94.15 Mn |
| Sep 30, 2025 | 94.38 Mn |
| Jun 30, 2025 | 86.44 Mn |
| Mar 31, 2025 | 89.07 Mn |
| Dec 31, 2024 | 85.29 Mn |
| Sep 30, 2024 | 87.30 Mn |
| Jun 30, 2024 | 87.07 Mn |
| Mar 31, 2024 | 93.57 Mn |
| Dec 31, 2023 | 113.59 Mn |
| Sep 30, 2023 | 145.24 Mn |
| Jun 30, 2023 | 151.18 Mn |
| Mar 31, 2023 | 147.75 Mn |
| Dec 31, 2022 | 130.30 Mn |
| Sep 30, 2022 | 144.30 Mn |
| Jun 30, 2022 | 150.82 Mn |
| Mar 31, 2022 | 152.75 Mn |
| Dec 31, 2021 | 140.75 Mn |
| Sep 30, 2021 | 131.73 Mn |
API Access
Kodiak Sciences Total Non-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-non-current-liabilities&ticker=KOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=KOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();