Kiora Pharmaceuticals (KPRX) Total Non-Current Liabilities (2014 - 2026)
Kiora Pharmaceuticals' Total Non-Current Liabilities came in at $4.55 million for Q2 2026, down 31.4% from $6.63 million a year earlier but up 1.2% from the prior quarter.
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Analysis
Kiora Pharmaceuticals (KPRX) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Kiora Pharmaceuticals' Total Non-Current Liabilities was $4.5 million, down 4.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $4.72 million in FY2024 (-21.0%), $5.97 million in FY2023 (+49.3%), $4 million in FY2022 (+1.4%) and $3.94 million in FY2021 (+9.8%).
- The five-year range for quarterly Total Non-Current Liabilities is $3.84 million (Q2 2022) to $6.63 million (Q2 2025).
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 11.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 162.9%), and the weakest in Q1 2022 (a decline of 40.8%).
- Business Quant data shows KPRX's Total Non-Current Liabilities at $4.49 million (Q1 2026), $4.5 million (Q4 2025) and $4.87 million (Q3 2025) in the three quarters before Q2 2026.
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 | Kiora Pharmaceuticals | 14.34 Mn | -52.98 Mn | - | 4.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.55 Mn |
| Mar 31, 2026 | 4.49 Mn |
| Dec 31, 2025 | 4.50 Mn |
| Sep 30, 2025 | 4.87 Mn |
| Jun 30, 2025 | 6.63 Mn |
| Mar 31, 2025 | 5.04 Mn |
| Dec 31, 2024 | 4.72 Mn |
| Sep 30, 2024 | 4.95 Mn |
| Jun 30, 2024 | 6.06 Mn |
| Mar 31, 2024 | 5.94 Mn |
| Dec 31, 2023 | 5.97 Mn |
| Sep 30, 2023 | 5.69 Mn |
| Jun 30, 2023 | 4.36 Mn |
| Mar 31, 2023 | 4.22 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | 4.15 Mn |
| Jun 30, 2022 | 3.84 Mn |
| Mar 31, 2022 | 3.86 Mn |
| Dec 31, 2021 | 3.94 Mn |
| Sep 30, 2021 | 6.19 Mn |
API Access
Kiora Pharmaceuticals 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=KPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=KPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();