Shattuck Labs (STTK) Operating Expenses (2019 - 2026)
Shattuck Labs (STTK) reported Operating Expenses of $16.16 million for Q2 2026, up 24.0% from $13.03 million a year earlier and up 3.9% from the prior quarter.
Shattuck Labs (STTK) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Shattuck Labs' Operating Expenses came in at $56.79 million, down 16.5% year-over-year; for FY2025, it came in at $52.51 million, down 39.1% from FY2024.
- Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $86.29 million in FY2024 (-7.8%), $93.61 million in FY2023 (-10.0%), $103.98 million in FY2022 (+38.1%) and $75.29 million in FY2021 (+60.6%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 18.9%.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 64.5%); the low point was Q2 2025 (a decline of 47.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.55 million (Q1 2026), $13.37 million (Q4 2025) and $11.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Shattuck Labs | 888.64 Mn | 315.54 Mn | - | 27.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.05 Mn |
| Jun 30, 2026 | 16.16 Mn |
| Mar 31, 2026 | 15.55 Mn |
| Dec 31, 2025 | 13.37 Mn |
| Sep 30, 2025 | 11.72 Mn |
| Jun 30, 2025 | 13.03 Mn |
| Mar 31, 2025 | 14.39 Mn |
| Dec 31, 2024 | 19.64 Mn |
| Sep 30, 2024 | 20.92 Mn |
| Jun 30, 2024 | 24.57 Mn |
| Mar 31, 2024 | 21.16 Mn |
| Dec 31, 2023 | 19.67 Mn |
| Sep 30, 2023 | 29.28 Mn |
| Jun 30, 2023 | 22.95 Mn |
| Mar 31, 2023 | 21.72 Mn |
| Dec 31, 2022 | 26.67 Mn |
| Sep 30, 2022 | 25.44 Mn |
| Jun 30, 2022 | 27.71 Mn |
| Mar 31, 2022 | 24.17 Mn |
| Dec 31, 2021 | 20.83 Mn |
Shattuck Labs 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=STTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "STTK", "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=STTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();