PolyPid (PYPD) Total Non-Current Liabilities (2019 - 2026)
PolyPid (PYPD) reported Total Non-Current Liabilities of $3.24 million for Q2 2026, down 20.0% from $4.06 million a year earlier and down 2.7% from the prior quarter.
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Analysis
PolyPid (PYPD) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, PolyPid posted Total Non-Current Liabilities of $3.6 million, down 26.0% from FY2024.
- Total Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 79.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.86 million in FY2024 (-52.3%), $10.18 million in FY2023 (-12.1%), $11.59 million in FY2022 and $199,000 in FY2021 (+3.1%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last 11 quarters, with an average decline of 38.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 78.0%); the low point was Q4 2024 (a decline of 52.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.33 million (Q1 2026), $3.6 million (Q4 2025) and $3.85 million (Q3 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 | PolyPid | 96.30 Mn | 47.11 Mn | - | 3.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.24 Mn |
| Mar 31, 2026 | 3.33 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 3.85 Mn |
| Jun 30, 2025 | 4.06 Mn |
| Mar 31, 2025 | 4.38 Mn |
| Dec 31, 2024 | 4.86 Mn |
| Sep 30, 2024 | 6.96 Mn |
| Jun 30, 2024 | 7.64 Mn |
| Mar 31, 2024 | 9.06 Mn |
| Dec 31, 2023 | 10.18 Mn |
| Sep 30, 2023 | 11.50 Mn |
| Jun 30, 2023 | 12.47 Mn |
| Mar 31, 2023 | 12.79 Mn |
| Dec 31, 2022 | 11.59 Mn |
| Sep 30, 2022 | 10.99 Mn |
| Jun 30, 2022 | 7.00 Mn |
| Mar 31, 2022 | 195,000.00 |
| Dec 31, 2021 | 199,000.00 |
| Sep 30, 2021 | 192,000.00 |
API Access
PolyPid 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=PYPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PYPD", "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=PYPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();