Spruce Biosciences (SPRB) Total Non-Current Liabilities (2019 - 2026)
Spruce Biosciences' Total Non-Current Liabilities came in at $15.8 million for Q2 2026, up 82.9% from $8.64 million a year earlier but down 10.1% from the prior quarter.
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Analysis
Spruce Biosciences (SPRB) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Spruce Biosciences' Total Non-Current Liabilities was $10.51 million, down 34.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $16.11 million in FY2024 (-40.8%), $27.2 million in FY2023 (+60.0%), $17 million in FY2022 (+13.0%) and $15.04 million in FY2021 (+12.8%).
- The five-year range for quarterly Total Non-Current Liabilities is $8.64 million (Q2 2025) to $30.94 million (Q1 2023).
- Year-over-year, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 16.1%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 111.2%), and the weakest in Q3 2021 (a decline of 88.2%).
- Business Quant data shows SPRB's Total Non-Current Liabilities at $17.58 million (Q1 2026), $10.51 million (Q4 2025) and $9.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Spruce Biosciences | 130.79 Mn | 130.79 Mn | - | 15.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.80 Mn |
| Mar 31, 2026 | 17.58 Mn |
| Dec 31, 2025 | 10.51 Mn |
| Sep 30, 2025 | 9.93 Mn |
| Jun 30, 2025 | 8.64 Mn |
| Mar 31, 2025 | 16.33 Mn |
| Dec 31, 2024 | 16.11 Mn |
| Sep 30, 2024 | 13.19 Mn |
| Jun 30, 2024 | 16.09 Mn |
| Mar 31, 2024 | 20.67 Mn |
| Dec 31, 2023 | 27.20 Mn |
| Sep 30, 2023 | 27.38 Mn |
| Jun 30, 2023 | 29.20 Mn |
| Mar 31, 2023 | 30.94 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Sep 30, 2022 | 16.68 Mn |
| Jun 30, 2022 | 15.28 Mn |
| Mar 31, 2022 | 14.65 Mn |
| Dec 31, 2021 | 15.04 Mn |
| Sep 30, 2021 | 15.32 Mn |
API Access
Spruce Biosciences 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=SPRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SPRB", "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=SPRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();