Sangamo Therapeutics (SGMOQ) Total Liabilities (2010 - 2025)
Sangamo Therapeutics' Total Liabilities came in at $74.01 million for Q4 2025, down 6.2% from $78.87 million a year earlier and down 10.2% from the prior quarter.
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Analysis
Sangamo Therapeutics (SGMOQ) Total Liabilities (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Sangamo Therapeutics' Total Liabilities data covers 60 quarters.
- Total Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -30.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $78.87 million in FY2024 (-4.3%), $82.43 million in FY2023 (-69.2%), $267.55 million in FY2022 (-22.8%) and $346.58 million in FY2021 (-21.4%).
- The Q4 2025 figure represents the lowest quarterly Total Liabilities since Q3 2024.
- Year-over-year, Total Liabilities increased in three of the last eight quarters, with an average decline of 5.2%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2021 (growth of 114.7%), and the weakest in Q3 2023 (a decline of 70.2%).
- Business Quant data shows SGMOQ's Total Liabilities at $82.4 million (Q3 2025), $77.96 million (Q2 2025) and $81.26 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Sangamo Therapeutics | 28.02 Mn | -86.09 Mn | - | 74.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 74.01 Mn |
| Sep 30, 2025 | 82.40 Mn |
| Jun 30, 2025 | 77.96 Mn |
| Mar 31, 2025 | 81.26 Mn |
| Dec 31, 2024 | 78.87 Mn |
| Sep 30, 2024 | 72.13 Mn |
| Jun 30, 2024 | 69.32 Mn |
| Mar 31, 2024 | 72.26 Mn |
| Dec 31, 2023 | 82.43 Mn |
| Sep 30, 2023 | 84.78 Mn |
| Jun 30, 2023 | 91.43 Mn |
| Mar 31, 2023 | 104.96 Mn |
| Dec 31, 2022 | 267.55 Mn |
| Sep 30, 2022 | 284.76 Mn |
| Jun 30, 2022 | 298.85 Mn |
| Mar 31, 2022 | 319.79 Mn |
| Dec 31, 2021 | 346.58 Mn |
| Sep 30, 2021 | 366.38 Mn |
| Jun 30, 2021 | 389.91 Mn |
| Mar 31, 2021 | 407.68 Mn |
API Access
Sangamo Therapeutics Total Liabilities 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=total-liabilities&ticker=SGMOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SGMOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();