Sangamo Therapeutics (SGMOQ) Non-Current Assets (2009 - 2026)
Sangamo Therapeutics (SGMOQ) posted Non-Current Assets of $22.85 million for Q1 2026, down 53.0% from $48.57 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Sangamo Therapeutics (SGMOQ) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Sangamo Therapeutics' Non-Current Assets came in at $23.92 million, down 52.1% from FY2024.
- Annual Non-Current Assets has declined for four consecutive years, with a five-year compound annual growth rate of -38.8% (FY2020 to FY2025).
- In prior years, Sangamo Therapeutics' Non-Current Assets was $49.94 million in FY2024 (-29.6%), $70.99 million in FY2023 (-72.9%), $262.18 million in FY2022 (-18.9%) and $323.15 million in FY2021 (+15.9%).
- The Q1 2026 figure stands as the lowest quarterly Non-Current Assets since Q1 2017.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 16 quarters, with an average decline of 34.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2021, with growth of 30.7%; the weakest was Q4 2023, with a decline of 72.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $23.92 million (Q4 2025), $44.57 million (Q3 2025) and $47.67 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 88.47 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Sangamo Therapeutics | 45.57 Mn | -70.94 Mn | - | 22.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 22.85 Mn |
| Dec 31, 2025 | 23.92 Mn |
| Sep 30, 2025 | 44.57 Mn |
| Jun 30, 2025 | 47.67 Mn |
| Mar 31, 2025 | 48.57 Mn |
| Dec 31, 2024 | 49.94 Mn |
| Sep 30, 2024 | 53.13 Mn |
| Jun 30, 2024 | 52.94 Mn |
| Mar 31, 2024 | 60.33 Mn |
| Dec 31, 2023 | 70.99 Mn |
| Sep 30, 2023 | 72.12 Mn |
| Jun 30, 2023 | 165.47 Mn |
| Mar 31, 2023 | 213.48 Mn |
| Dec 31, 2022 | 262.18 Mn |
| Sep 30, 2022 | 257.29 Mn |
| Jun 30, 2022 | 274.01 Mn |
| Mar 31, 2022 | 314.25 Mn |
| Dec 31, 2021 | 323.15 Mn |
| Sep 30, 2021 | 325.00 Mn |
| Jun 30, 2021 | 281.30 Mn |
API Access
Sangamo Therapeutics Non-Current Assets 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=non-current-assets&ticker=SGMOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SGMOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();