Kyntra Bio (KYNB) Total Non-Current Liabilities (2014 - 2026)
Kyntra Bio (KYNB) reported Total Non-Current Liabilities of $131.16 million for Q2 2026, down 65.5% from $380.46 million a year earlier and down 6.5% from the prior quarter.
Kyntra Bio (KYNB) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Kyntra Bio posted Total Non-Current Liabilities of $149.55 million, down 66.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $439.31 million in FY2024 (-29.7%), $624.84 million in FY2023 (unchanged), $625.09 million in FY2022 (+20.5%) and $518.69 million in FY2021 (+49.6%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Year over year, Total Non-Current Liabilities has now declined in each of the last nine quarters, with an average decline of 46.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 58.6%); the low point was Q3 2025 (a decline of 69.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $140.32 million (Q1 2026), $149.55 million (Q4 2025) and $153.94 million (Q3 2025).
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 | Kyntra Bio | 21.25 Mn | -386.69 Mn | 1.47 Mn | 131.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.16 Mn |
| Mar 31, 2026 | 140.32 Mn |
| Dec 31, 2025 | 149.55 Mn |
| Sep 30, 2025 | 153.94 Mn |
| Jun 30, 2025 | 380.46 Mn |
| Mar 31, 2025 | 360.79 Mn |
| Dec 31, 2024 | 439.31 Mn |
| Sep 30, 2024 | 507.25 Mn |
| Jun 30, 2024 | 504.04 Mn |
| Mar 31, 2024 | 569.72 Mn |
| Dec 31, 2023 | 624.84 Mn |
| Sep 30, 2023 | 613.34 Mn |
| Jun 30, 2023 | 591.95 Mn |
| Mar 31, 2023 | 560.37 Mn |
| Dec 31, 2022 | 625.09 Mn |
| Sep 30, 2022 | 548.27 Mn |
| Jun 30, 2022 | 545.21 Mn |
| Mar 31, 2022 | 543.59 Mn |
| Dec 31, 2021 | 518.69 Mn |
| Sep 30, 2021 | 481.13 Mn |
Kyntra Bio 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=KYNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "KYNB", "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=KYNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();