Sangamo Therapeutics (SGMOQ) Accumulated Expenses (2009 - 2026)
Sangamo Therapeutics (SGMOQ) posted Accumulated Expenses of $15.08 million for Q1 2026, up 54.0% from $9.8 million a year earlier and up 60.3% from the prior quarter.
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Analysis
Sangamo Therapeutics (SGMOQ) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Sangamo Therapeutics' Accumulated Expenses came in at $9.41 million, up 14.8% from FY2024.
- 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%).
- The Q1 2026 figure stands as the highest quarterly Accumulated Expenses since Q2 2024.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 13.2%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2026, with growth of 54.0%; the weakest was Q4 2024, with a decline of 65.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $9.41 million (Q4 2025), $9.87 million (Q3 2025) and $13.94 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Sangamo Therapeutics | 45.57 Mn | -70.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 15.08 Mn |
| 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 |
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();