Sangamo Therapeutics (SGMOQ) Total Current Liabilities (2009 - 2026)
Sangamo Therapeutics (SGMOQ) reported Total Current Liabilities of $53.13 million for Q1 2026, up 7.2% from $49.56 million a year earlier and up 25.1% from the prior quarter.
Sangamo Therapeutics (SGMOQ) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Sangamo Therapeutics posted Total Current Liabilities of $42.47 million, down 7.3% from FY2024.
- Total Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -21.6% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $45.81 million in FY2024 (-4.0%), $47.73 million in FY2023 (-57.3%), $111.71 million in FY2022 (-12.6%) and $127.89 million in FY2021 (-10.9%).
- The Q1 2026 figure ranks as the highest quarterly Total Current Liabilities since Q2 2023.
- Year over year, Total Current Liabilities gained in four of the last eight quarters, with growth averaging 2.4%.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2021 (growth of 45.8%); the low point was Q3 2023 (a decline of 60.4%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $42.47 million (Q4 2025), $50.13 million (Q3 2025) and $47.66 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Sangamo Therapeutics | 45.57 Mn | -70.94 Mn | - | 53.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 53.13 Mn |
| Dec 31, 2025 | 42.47 Mn |
| Sep 30, 2025 | 50.13 Mn |
| Jun 30, 2025 | 47.66 Mn |
| Mar 31, 2025 | 49.56 Mn |
| Dec 31, 2024 | 45.81 Mn |
| Sep 30, 2024 | 43.16 Mn |
| Jun 30, 2024 | 39.01 Mn |
| Mar 31, 2024 | 40.24 Mn |
| Dec 31, 2023 | 47.73 Mn |
| Sep 30, 2023 | 48.48 Mn |
| Jun 30, 2023 | 53.79 Mn |
| Mar 31, 2023 | 57.84 Mn |
| Dec 31, 2022 | 111.71 Mn |
| Sep 30, 2022 | 122.36 Mn |
| Jun 30, 2022 | 119.99 Mn |
| Mar 31, 2022 | 118.53 Mn |
| Dec 31, 2021 | 127.89 Mn |
| Sep 30, 2021 | 131.90 Mn |
| Jun 30, 2021 | 136.94 Mn |
Sangamo Therapeutics Total 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-current-liabilities&ticker=SGMOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SGMOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();