Sangamo Therapeutics (SGMOQ) Total Non-Current Liabilities (2013 - 2025)
Sangamo Therapeutics (SGMOQ) reported Total Non-Current Liabilities of $73.43 million for Q4 2025, down 5.8% from $77.93 million a year earlier and down 9.8% from the prior quarter.
Sangamo Therapeutics (SGMOQ) Total Non-Current Liabilities (2013 - 2025) Analysis & Trends
Dating back to Q4 2013, Sangamo Therapeutics' Total Non-Current Liabilities record includes 35 quarters.
- Total Non-Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -29.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $77.93 million in FY2024 (-4.1%), $81.25 million in FY2023 (-69.5%), $266.34 million in FY2022 (-22.9%) and $345.36 million in FY2021 (-20.5%).
- The Q4 2025 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 5.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2021 (growth of 117.7%); the low point was Q3 2023 (a decline of 70.6%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $81.42 million (Q3 2025), $76.99 million (Q2 2025) and $80.33 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Sangamo Therapeutics | 39.23 Mn | -74.88 Mn | - | 73.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 73.43 Mn |
| Sep 30, 2025 | 81.42 Mn |
| Jun 30, 2025 | 76.99 Mn |
| Mar 31, 2025 | 80.33 Mn |
| Dec 31, 2024 | 77.93 Mn |
| Sep 30, 2024 | 70.89 Mn |
| Jun 30, 2024 | 68.10 Mn |
| Mar 31, 2024 | 71.06 Mn |
| Dec 31, 2023 | 81.25 Mn |
| Sep 30, 2023 | 83.46 Mn |
| Jun 30, 2023 | 90.17 Mn |
| Mar 31, 2023 | 103.73 Mn |
| Dec 31, 2022 | 266.34 Mn |
| Sep 30, 2022 | 283.45 Mn |
| Jun 30, 2022 | 297.56 Mn |
| Mar 31, 2022 | 318.55 Mn |
| Dec 31, 2021 | 345.36 Mn |
| Sep 30, 2021 | 358.75 Mn |
| Jun 30, 2021 | 382.48 Mn |
| Mar 31, 2021 | 400.45 Mn |
Sangamo Therapeutics Total Non-Current 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-non-current-liabilities&ticker=SGMOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SGMOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();