Kymera Therapeutics (KYMR) Accumulated Expenses (2019 - 2026)
Kymera Therapeutics (KYMR) recorded Accumulated Expenses of $48.48 million in Q2 2026, up 73.3% from $27.98 million a year earlier and up 38.1% from the prior quarter.
Kymera Therapeutics (KYMR) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Kymera Therapeutics reported Accumulated Expenses of $42.27 million, up 21.2% from FY2024.
- Annual Accumulated Expenses has increased for six straight years, with a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $34.87 million in FY2024 (+3.0%), $33.86 million in FY2023 (+23.1%), $27.5 million in FY2022 (+19.7%) and $22.97 million in FY2021 (+122.4%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2019.
- On a year-over-year basis, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 27.5% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 144.1% in Q3 2021, against a decline of 13.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.1 million (Q1 2026), $42.27 million (Q4 2025) and $28.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Kymera Therapeutics | 9.12 Bn | 6.42 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.48 Mn |
| Mar 31, 2026 | 35.10 Mn |
| Dec 31, 2025 | 42.27 Mn |
| Sep 30, 2025 | 28.64 Mn |
| Jun 30, 2025 | 27.98 Mn |
| Mar 31, 2025 | 23.12 Mn |
| Dec 31, 2024 | 34.87 Mn |
| Sep 30, 2024 | 26.53 Mn |
| Jun 30, 2024 | 23.78 Mn |
| Mar 31, 2024 | 16.00 Mn |
| Dec 31, 2023 | 33.86 Mn |
| Sep 30, 2023 | 26.38 Mn |
| Jun 30, 2023 | 22.49 Mn |
| Mar 31, 2023 | 18.50 Mn |
| Dec 31, 2022 | 27.50 Mn |
| Sep 30, 2022 | 24.69 Mn |
| Jun 30, 2022 | 21.74 Mn |
| Mar 31, 2022 | 20.78 Mn |
| Dec 31, 2021 | 22.97 Mn |
| Sep 30, 2021 | 19.22 Mn |
Kymera Therapeutics Accumulated Expenses 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=accumulated-expenses&ticker=KYMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=KYMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();