Sangamo Therapeutics (SGMOQ) Accumulated Expenses (2019 - 2025)
Sangamo Therapeutics (SGMOQ) posted Accumulated Expenses of $9.41 million for Q4 2025, up 14.8% from $8.2 million a year earlier but down 4.7% from the prior quarter.
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Analysis
Sangamo Therapeutics (SGMOQ) Accumulated Expenses (2019 - 2025) Analysis & Trends
Since Q4 2019, Sangamo Therapeutics has reported Accumulated Expenses for 22 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- In prior years, Sangamo Therapeutics' Accumulated Expenses was $8.2 million in FY2024 (-65.2%), $23.55 million in FY2023 (+47.1%), $16.01 million in FY2022 (+38.3%) and $11.58 million in FY2021 (-37.8%).
- Quarterly Accumulated Expenses has run from a low of $8.2 million in Q4 2024 to a high of $23.55 million in Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 17.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 47.1%; the weakest was Q4 2024, with a decline of 65.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $9.87 million (Q3 2025), $13.94 million (Q2 2025) and $9.8 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Sangamo Therapeutics | 42.03 Mn | -72.08 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.41 Mn |
| Sep 30, 2025 | 9.87 Mn |
| Jun 30, 2025 | 13.94 Mn |
| Mar 31, 2025 | 9.80 Mn |
| Dec 31, 2024 | 8.20 Mn |
| Sep 30, 2024 | 11.64 Mn |
| Jun 30, 2024 | 15.76 Mn |
| Mar 31, 2024 | 18.47 Mn |
| Dec 31, 2023 | 23.55 Mn |
| Sep 30, 2023 | 14.23 Mn |
| Jun 30, 2023 | 18.96 Mn |
| Mar 31, 2023 | 15.40 Mn |
| Dec 31, 2022 | 16.01 Mn |
| Sep 30, 2022 | 14.05 Mn |
| Jun 30, 2022 | 14.20 Mn |
| Mar 31, 2022 | 14.10 Mn |
| Dec 31, 2021 | 11.58 Mn |
| Sep 30, 2021 | 14.82 Mn |
| Jun 30, 2021 | 15.45 Mn |
| Mar 31, 2021 | 13.76 Mn |
API Access
Sangamo 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=SGMOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SGMOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();