Purple Biotech (PPBT) Research & Development (2014 - 2026)
Purple Biotech's Research & Development came in at $702,000 for Q2 2026, up 26.9% from $553,000 a year earlier but down 42.9% from the prior quarter.
Purple Biotech (PPBT) Research & Development (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Purple Biotech reported Research & Development of $4.35 million, up 39.4% year-over-year; for FY2025, it was $3.73 million, down 51.0% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -12.4% (FY2020 to FY2025).
- Going back by year, Research & Development was $7.62 million in FY2024 (-55.3%), $17.03 million in FY2023 (+4.4%), $16.32 million in FY2022 (+38.0%) and $11.83 million in FY2021 (+63.4%).
- The five-year range for quarterly Research & Development is $458,000 (Q4 2024) to $5.95 million (Q1 2022).
- Year-over-year, Research & Development has increased for three consecutive quarters, with growth averaging 1.9% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q4 2025 (growth of 299.3%), and the weakest in Q4 2024 (a decline of 91.3%).
- Business Quant data shows PPBT's Research & Development at $1.23 million (Q1 2026), $1.83 million (Q4 2025) and $587,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Purple Biotech | 249,214.64 | 191,214.64 | - | 702,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 702,000.00 |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 587,000.00 |
| Jun 30, 2025 | 553,000.00 |
| Mar 31, 2025 | 760,000.00 |
| Dec 31, 2024 | 458,000.00 |
| Sep 30, 2024 | 1.35 Mn |
| Jun 30, 2024 | 2.39 Mn |
| Mar 31, 2024 | 3.42 Mn |
| Dec 31, 2023 | 5.24 Mn |
| Sep 30, 2023 | 4.59 Mn |
| Jun 30, 2023 | 3.71 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 4.82 Mn |
| Sep 30, 2022 | 3.47 Mn |
| Jun 30, 2022 | 2.08 Mn |
| Mar 31, 2022 | 5.95 Mn |
| Dec 31, 2021 | 3.25 Mn |
| Sep 30, 2021 | 1.62 Mn |
Purple Biotech 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=PPBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "PPBT", "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=PPBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();