Kymera Therapeutics (KYMR) Total Current Liabilities (2019 - 2026)
Kymera Therapeutics (KYMR) reported Total Current Liabilities of $71.33 million for Q2 2026, down 18.5% from $87.54 million a year earlier but up 13.9% from the prior quarter.
Kymera Therapeutics (KYMR) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Kymera Therapeutics posted Total Current Liabilities of $83.21 million, up 22.8% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $67.77 million in FY2024 (-20.9%), $85.69 million in FY2023 (+20.1%), $71.34 million in FY2022 (-22.9%) and $92.54 million in FY2021 (-16.3%).
- Five-year quarterly Total Current Liabilities spans a low of $54.6 million in Q2 2023 and a high of $94.49 million in Q3 2021.
- Year over year, Total Current Liabilities gained in six of the last eight quarters, with growth averaging 6.1%.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2025 (growth of 40.9%); the low point was Q2 2023 (a decline of 37.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $62.64 million (Q1 2026), $83.21 million (Q4 2025) and $71.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Kymera Therapeutics | 9.27 Bn | 6.58 Bn | - | 71.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.33 Mn |
| Mar 31, 2026 | 62.64 Mn |
| Dec 31, 2025 | 83.21 Mn |
| Sep 30, 2025 | 71.58 Mn |
| Jun 30, 2025 | 87.54 Mn |
| Mar 31, 2025 | 58.99 Mn |
| Dec 31, 2024 | 67.77 Mn |
| Sep 30, 2024 | 66.53 Mn |
| Jun 30, 2024 | 62.14 Mn |
| Mar 31, 2024 | 56.14 Mn |
| Dec 31, 2023 | 85.69 Mn |
| Sep 30, 2023 | 63.17 Mn |
| Jun 30, 2023 | 54.60 Mn |
| Mar 31, 2023 | 61.93 Mn |
| Dec 31, 2022 | 71.34 Mn |
| Sep 30, 2022 | 91.12 Mn |
| Jun 30, 2022 | 87.50 Mn |
| Mar 31, 2022 | 88.34 Mn |
| Dec 31, 2021 | 92.54 Mn |
| Sep 30, 2021 | 94.49 Mn |
Kymera Therapeutics 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=KYMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "KYMR", "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=KYMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();