PolyPid (PYPD) Cash & Equivalents (2019 - 2026)
PolyPid (PYPD) reported Cash & Equivalents of $6.56 million for Q2 2026, down 62.8% from $17.63 million a year earlier and down 26.2% from the prior quarter.
PolyPid (PYPD) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, PolyPid posted Cash & Equivalents of $6.4 million, down 59.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $15.64 million in FY2024 (+175.1%), $5.69 million in FY2023 (-37.8%), $9.14 million in FY2022 (-12.6%) and $10.46 million in FY2021 (+142.1%).
- Five-year quarterly Cash & Equivalents spans a low of $1.35 million in Q3 2023 and a high of $17.63 million in Q2 2025.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 135.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2025 (growth of 406.0%); the low point was Q3 2023 (a decline of 91.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.89 million (Q1 2026), $6.4 million (Q4 2025) and $9.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | PolyPid | 94.48 Mn | 45.28 Mn | - | 6.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.56 Mn |
| Mar 31, 2026 | 8.89 Mn |
| Dec 31, 2025 | 6.40 Mn |
| Sep 30, 2025 | 9.67 Mn |
| Jun 30, 2025 | 17.63 Mn |
| Mar 31, 2025 | 2.27 Mn |
| Dec 31, 2024 | 15.64 Mn |
| Sep 30, 2024 | 4.80 Mn |
| Jun 30, 2024 | 3.48 Mn |
| Mar 31, 2024 | 3.84 Mn |
| Dec 31, 2023 | 5.31 Mn |
| Sep 30, 2023 | 1.35 Mn |
| Jun 30, 2023 | 3.97 Mn |
| Mar 31, 2023 | 6.37 Mn |
| Dec 31, 2022 | 8.55 Mn |
| Sep 30, 2022 | 16.11 Mn |
| Jun 30, 2022 | 11.64 Mn |
| Mar 31, 2022 | 11.43 Mn |
| Dec 31, 2021 | 9.82 Mn |
| Sep 30, 2021 | 9.22 Mn |
PolyPid Cash & Equivalents 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=cash-and-equivalents&ticker=PYPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PYPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();