Silo Pharma (SILO) Total Non-Current Liabilities (2012 - 2026)
Silo Pharma's Total Non-Current Liabilities was $631,451 in Q1 2026, down 10.2% from $703,553 a year earlier and down 2.8% from the prior quarter.
Powered by 
Analysis
Silo Pharma (SILO) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Silo Pharma came in at $649,476, down 10.0% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive years, though with a five-year compound annual growth rate of 173.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $721,578 in FY2024 (-9.1%), $793,680 in FY2023 (-8.3%), $865,782 in FY2022 (-7.7%) and $937,884 in FY2021.
- The Q1 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2020.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 17 straight quarters, with an average decline of 9.4% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Non-Current Liabilities ran from 2.8% in Q1 2022 to 10.2% in Q1 2026.
- Per Business Quant data, SILO's Total Non-Current Liabilities in the three quarters before Q1 2026 was $649,476 (Q4 2025), $667,502 (Q3 2025) and $685,527 (Q2 2025).
Peer Set
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 | Silo Pharma | 1.82 Mn | 1.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 631,451.00 |
| Dec 31, 2025 | 649,476.00 |
| Sep 30, 2025 | 667,502.00 |
| Jun 30, 2025 | 685,527.00 |
| Mar 31, 2025 | 703,553.00 |
| Dec 31, 2024 | 721,578.00 |
| Sep 30, 2024 | 739,604.00 |
| Jun 30, 2024 | 757,629.00 |
| Mar 31, 2024 | 775,654.00 |
| Dec 31, 2023 | 793,680.00 |
| Sep 30, 2023 | 811,706.00 |
| Jun 30, 2023 | 829,731.00 |
| Mar 31, 2023 | 847,757.00 |
| Dec 31, 2022 | 865,782.00 |
| Sep 30, 2022 | 883,807.00 |
| Jun 30, 2022 | 901,833.00 |
| Mar 31, 2022 | 919,859.00 |
| Dec 31, 2021 | 937,884.00 |
| Sep 30, 2021 | 955,909.00 |
| Jun 30, 2021 | 973,935.00 |
API Access
Silo Pharma 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=SILO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SILO", "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=SILO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();