Kiora Pharmaceuticals (KPRX) Total Liabilities (2014 - 2026)
Kiora Pharmaceuticals' Total Liabilities came in at $6.92 million for Q2 2026, down 29.5% from $9.82 million a year earlier and down 5.1% from the prior quarter.
Kiora Pharmaceuticals (KPRX) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Kiora Pharmaceuticals' Total Liabilities was $8.13 million, down 24.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $10.72 million in FY2024 (+41.1%), $7.6 million in FY2023 (+4.6%), $7.27 million in FY2022 (+31.0%) and $5.55 million in FY2021 (-0.4%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2023.
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 148.0%), and the weakest in Q2 2026 (a decline of 29.5%).
- Business Quant data shows KPRX's Total Liabilities at $7.29 million (Q1 2026), $8.13 million (Q4 2025) and $7.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Kiora Pharmaceuticals | 16.49 Mn | 16.49 Mn | - | 6.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.92 Mn |
| Mar 31, 2026 | 7.29 Mn |
| Dec 31, 2025 | 8.13 Mn |
| Sep 30, 2025 | 7.45 Mn |
| Jun 30, 2025 | 9.82 Mn |
| Mar 31, 2025 | 10.32 Mn |
| Dec 31, 2024 | 10.72 Mn |
| Sep 30, 2024 | 8.48 Mn |
| Jun 30, 2024 | 7.71 Mn |
| Mar 31, 2024 | 7.54 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 7.79 Mn |
| Jun 30, 2023 | 6.24 Mn |
| Mar 31, 2023 | 6.37 Mn |
| Dec 31, 2022 | 7.27 Mn |
| Sep 30, 2022 | 7.14 Mn |
| Jun 30, 2022 | 6.70 Mn |
| Mar 31, 2022 | 6.38 Mn |
| Dec 31, 2021 | 5.55 Mn |
| Sep 30, 2021 | 8.15 Mn |
Kiora Pharmaceuticals Total 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-liabilities&ticker=KPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KPRX", "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-liabilities&ticker=KPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();