Tectonic Therapeutic (TECX) Operating Expenses (2017 - 2026)
Tectonic Therapeutic (TECX) posted Operating Expenses of $24.22 million for Q2 2026, up 8.4% from $22.33 million a year earlier but down 11.3% from the prior quarter.
Tectonic Therapeutic (TECX) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Tectonic Therapeutic was $94.93 million, up 27.8% year-over-year; for FY2025, it was $84.04 million, up 44.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -6.9% (FY2020 to FY2025).
- In prior years, Tectonic Therapeutic's Operating Expenses was $58.02 million in FY2024 (+29.9%), $44.65 million in FY2023 (-57.7%), $105.43 million in FY2022 (-11.3%) and $118.84 million in FY2021 (-1.2%).
- Quarterly Operating Expenses has run from a low of $9.37 million in Q4 2023 to a high of $32.62 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last nine quarters, with growth averaging 50.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 95.5%; the weakest was Q4 2023, with a decline of 62.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $27.3 million (Q1 2026), $21.52 million (Q4 2025) and $21.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Tectonic Therapeutic | 452.22 Mn | 452.22 Mn | - | 24.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.22 Mn |
| Mar 31, 2026 | 27.30 Mn |
| Dec 31, 2025 | 21.52 Mn |
| Sep 30, 2025 | 21.89 Mn |
| Jun 30, 2025 | 22.33 Mn |
| Mar 31, 2025 | 18.30 Mn |
| Dec 31, 2024 | 13.99 Mn |
| Sep 30, 2024 | 19.64 Mn |
| Jun 30, 2024 | 11.42 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 9.37 Mn |
| Sep 30, 2023 | 10.11 Mn |
| Jun 30, 2023 | 10.63 Mn |
| Mar 31, 2023 | 25.22 Mn |
| Dec 31, 2022 | 25.26 Mn |
| Sep 30, 2022 | 22.99 Mn |
| Jun 30, 2022 | 27.77 Mn |
| Mar 31, 2022 | 29.42 Mn |
| Dec 31, 2021 | 27.96 Mn |
| Sep 30, 2021 | 32.62 Mn |
Tectonic Therapeutic Operating 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=operating-expenses&ticker=TECX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TECX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TECX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();