Kymera Therapeutics (KYMR) Total Liabilities (2019 - 2026)
Kymera Therapeutics (KYMR) posted Total Liabilities of $152.74 million for Q3 2026, down 2.0% from $155.79 million a year earlier but up 12.2% from the prior quarter.
Kymera Therapeutics (KYMR) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Kymera Therapeutics' Total Liabilities came in at $163.15 million, up 14.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- In prior years, Kymera Therapeutics' Total Liabilities was $142.42 million in FY2024 (-21.2%), $180.79 million in FY2023 (+60.0%), $112.98 million in FY2022 (-22.8%) and $146.27 million in FY2021 (-28.0%).
- Quarterly Total Liabilities has run from a low of $112.98 million in Q4 2022 to a high of $180.79 million in Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 2.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 60.0%; the weakest was Q1 2022, with a decline of 29.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $136.19 million (Q2 2026), $129.38 million (Q1 2026) and $163.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Kymera Therapeutics | 11.66 Bn | 8.50 Bn | - | 152.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 152.74 Mn |
| Jun 30, 2026 | 136.19 Mn |
| Mar 31, 2026 | 129.38 Mn |
| Dec 31, 2025 | 163.15 Mn |
| Sep 30, 2025 | 155.79 Mn |
| Jun 30, 2025 | 159.59 Mn |
| Mar 31, 2025 | 132.08 Mn |
| Dec 31, 2024 | 142.42 Mn |
| Sep 30, 2024 | 141.91 Mn |
| Jun 30, 2024 | 141.10 Mn |
| Mar 31, 2024 | 157.05 Mn |
| Dec 31, 2023 | 180.79 Mn |
| Sep 30, 2023 | 156.84 Mn |
| Jun 30, 2023 | 146.52 Mn |
| Mar 31, 2023 | 151.90 Mn |
| Dec 31, 2022 | 112.98 Mn |
| Sep 30, 2022 | 125.59 Mn |
| Jun 30, 2022 | 125.47 Mn |
| Mar 31, 2022 | 134.34 Mn |
| Dec 31, 2021 | 146.27 Mn |
Kymera Therapeutics 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=KYMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=KYMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();