Sangamo Therapeutics (SGMOQ) Total Non-Current Liabilities (2009 - 2026)
Sangamo Therapeutics (SGMOQ) reported Total Non-Current Liabilities of $78.34 million for Q1 2026, down 2.5% from $80.33 million a year earlier but up 6.7% from the prior quarter.
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Analysis
Sangamo Therapeutics (SGMOQ) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Sangamo Therapeutics posted Total Non-Current Liabilities of $73.43 million, down 5.8% from FY2024.
- 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%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $68.1 million in Q2 2024 and a high of $382.48 million in Q2 2021.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 1.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2025 (growth of 14.9%); the low point was Q3 2023 (a decline of 70.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $73.43 million (Q4 2025), $81.42 million (Q3 2025) and $76.99 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Sangamo Therapeutics | 45.57 Mn | -70.94 Mn | - | 78.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 78.34 Mn |
| 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 |
API Access
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_KEYimport 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();