Kyntra Bio (KYNB) Total Current Liabilities (2014 - 2026)
Kyntra Bio (KYNB) posted Total Current Liabilities of $36.04 million for Q2 2026, down 76.9% from $155.9 million a year earlier but up 28.2% from the prior quarter.
Kyntra Bio (KYNB) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Kyntra Bio's Total Current Liabilities came in at $29.24 million, down 78.1% from FY2024.
- Annual Total Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -29.1% (FY2020 to FY2025).
- In prior years, Kyntra Bio's Total Current Liabilities was $133.31 million in FY2024 (-38.8%), $217.67 million in FY2023 (-20.4%), $273.56 million in FY2022 (+21.3%) and $225.5 million in FY2021 (+38.2%).
- Quarterly Total Current Liabilities has run from a low of $28.11 million in Q1 2026 to a high of $273.56 million in Q4 2022 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last four quarters, with an average decline of 50.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2021, with growth of 76.9%; the weakest was Q3 2025, with a decline of 81.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $28.11 million (Q1 2026), $29.24 million (Q4 2025) and $35.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Kyntra Bio | 21.25 Mn | -386.69 Mn | 1.47 Mn | 36.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.04 Mn |
| Mar 31, 2026 | 28.11 Mn |
| Dec 31, 2025 | 29.24 Mn |
| Sep 30, 2025 | 35.97 Mn |
| Jun 30, 2025 | 155.90 Mn |
| Mar 31, 2025 | 73.39 Mn |
| Dec 31, 2024 | 133.31 Mn |
| Sep 30, 2024 | 190.53 Mn |
| Jun 30, 2024 | 148.59 Mn |
| Mar 31, 2024 | 196.73 Mn |
| Dec 31, 2023 | 217.67 Mn |
| Sep 30, 2023 | 209.42 Mn |
| Jun 30, 2023 | 194.07 Mn |
| Mar 31, 2023 | 254.75 Mn |
| Dec 31, 2022 | 273.56 Mn |
| Sep 30, 2022 | 251.99 Mn |
| Jun 30, 2022 | 240.34 Mn |
| Mar 31, 2022 | 255.37 Mn |
| Dec 31, 2021 | 225.50 Mn |
| Sep 30, 2021 | 209.32 Mn |
Kyntra Bio 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=KYNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=KYNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();