Sangamo Therapeutics (SGMOQ) Operating Expenses (2010 - 2025)
Sangamo Therapeutics (SGMOQ) reported Operating Expenses of $52.43 million for Q4 2025, up 56.3% from $33.54 million a year earlier and up 45.1% from the prior quarter.
Sangamo Therapeutics (SGMOQ) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, Sangamo Therapeutics posted Operating Expenses of $160.79 million, down 0.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $161.77 million in FY2024 (-64.1%), $450.24 million in FY2023 (+44.0%), $312.58 million in FY2022 (+6.3%) and $294.04 million in FY2021 (+18.7%).
- The Q4 2025 figure ranks as the highest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses gained in 1 of the last eight quarters, with an average decline of 29.1%.
- The high point for year-over-year Operating Expenses in five years was Q1 2023 (growth of 90.4%); the low point was Q2 2024 (a decline of 71.3%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $36.13 million (Q3 2025), $36.16 million (Q2 2025) and $36.07 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Sangamo Therapeutics | 28.02 Mn | -86.09 Mn | - | 52.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 52.43 Mn |
| Sep 30, 2025 | 36.13 Mn |
| Jun 30, 2025 | 36.16 Mn |
| Mar 31, 2025 | 36.07 Mn |
| Dec 31, 2024 | 33.54 Mn |
| Sep 30, 2024 | 38.78 Mn |
| Jun 30, 2024 | 37.44 Mn |
| Mar 31, 2024 | 52.01 Mn |
| Dec 31, 2023 | 64.10 Mn |
| Sep 30, 2023 | 115.81 Mn |
| Jun 30, 2023 | 130.41 Mn |
| Mar 31, 2023 | 139.92 Mn |
| Dec 31, 2022 | 82.62 Mn |
| Sep 30, 2022 | 81.35 Mn |
| Jun 30, 2022 | 75.11 Mn |
| Mar 31, 2022 | 73.49 Mn |
| Dec 31, 2021 | 67.89 Mn |
| Sep 30, 2021 | 77.00 Mn |
| Jun 30, 2021 | 76.57 Mn |
| Mar 31, 2021 | 72.58 Mn |
Sangamo Therapeutics 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=SGMOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SGMOQ", "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=SGMOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();