PolyPid (PYPD) Research & Development (2019 - 2026)
PolyPid's Research & Development was $6.13 million in Q2 2026, down 1.4% from $6.22 million a year earlier but up 6.4% from the prior quarter.
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Analysis
PolyPid (PYPD) Research & Development (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, PolyPid's Research & Development was $23.36 million through Jun 30, 2026, down 7.8% year-over-year; for FY2025, it came in at $23.81 million, up 4.4% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $22.81 million in FY2024 (+41.3%), $16.15 million in FY2023 (-42.3%), $27.99 million in FY2022 (-8.4%) and $30.55 million in FY2021 (+80.2%).
- Quarterly Research & Development has moved between $3.79 million (Q1 2023) and $9.62 million (Q4 2021) over five years.
- Compared with a year earlier, Research & Development has declined for four straight quarters, with growth averaging 16.4% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 92.1%); the worst was Q1 2023 (a decline of 56.4%).
- Per Business Quant data, PYPD's Research & Development in the three quarters before Q2 2026 was $5.76 million (Q1 2026), $6.22 million (Q4 2025) and $5.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | PolyPid | 83.15 Mn | 51.63 Mn | - | 6.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.13 Mn |
| Mar 31, 2026 | 5.76 Mn |
| Dec 31, 2025 | 6.22 Mn |
| Sep 30, 2025 | 5.26 Mn |
| Jun 30, 2025 | 6.22 Mn |
| Mar 31, 2025 | 6.12 Mn |
| Dec 31, 2024 | 7.03 Mn |
| Sep 30, 2024 | 5.97 Mn |
| Jun 30, 2024 | 4.76 Mn |
| Mar 31, 2024 | 5.05 Mn |
| Dec 31, 2023 | 4.59 Mn |
| Sep 30, 2023 | 3.81 Mn |
| Jun 30, 2023 | 3.96 Mn |
| Mar 31, 2023 | 3.79 Mn |
| Dec 31, 2022 | 4.66 Mn |
| Sep 30, 2022 | 6.24 Mn |
| Jun 30, 2022 | 8.40 Mn |
| Mar 31, 2022 | 8.70 Mn |
| Dec 31, 2021 | 9.62 Mn |
| Sep 30, 2021 | 7.48 Mn |
API Access
PolyPid Research & Development 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=research-and-development&ticker=PYPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PYPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();