PolyPid (PYPD) Prepaid Assets (2019 - 2026)
PolyPid (PYPD) recorded Prepaid Assets of $757,000 in Q2 2026, up 115.7% from $351,000 a year earlier.
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Analysis
PolyPid (PYPD) Prepaid Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, PolyPid reported Prepaid Assets of $995,000, up 30.2% from FY2024.
- Annual Prepaid Assets has a five-year compound annual growth rate of -15.7% (FY2020 to FY2025).
- Across earlier years, Prepaid Assets came in at $764,000 in FY2024 (+66.8%), $458,000 in FY2023 (-57.9%), $1.09 million in FY2022 (-50.7%) and $2.21 million in FY2021 (-5.3%).
- Quarterly Prepaid Assets has ranged from $144,000 in Q2 2023 to $2.21 million in Q4 2021 over the past five years.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 115.7% in Q2 2026, against a decline of 57.9% in Q4 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | PolyPid | 95.94 Mn | 46.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 757,000.00 |
| Dec 31, 2025 | 995,000.00 |
| Jun 30, 2025 | 351,000.00 |
| Dec 31, 2024 | 764,000.00 |
| Jun 30, 2024 | 268,000.00 |
| Dec 31, 2023 | 458,000.00 |
| Jun 30, 2023 | 144,000.00 |
| Dec 31, 2022 | 1.09 Mn |
| Dec 31, 2021 | 2.21 Mn |
| Mar 31, 2021 | 1.29 Mn |
| Dec 31, 2020 | 2.33 Mn |
| Sep 30, 2020 | 2.50 Mn |
| Jun 30, 2020 | 430,000.00 |
| Dec 31, 2019 | 417,000.00 |
API Access
PolyPid Prepaid 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=prepaid-assets&ticker=PYPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PYPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();