Prokidney (PROK) Research & Development (2021 - 2026)
Prokidney (PROK) posted Research & Development of $36.1 million for Q2 2026, up 39.5% from $25.88 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Prokidney (PROK) Research & Development (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Prokidney was $130.92 million, up 5.4% year-over-year; for FY2025, it was $114.12 million, down 10.6% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 40.2% (FY2020 to FY2025).
- In prior years, Prokidney's Research & Development was $127.67 million in FY2024 (+19.6%), $106.71 million in FY2023 (+30.0%), $82.07 million in FY2022 (+77.4%) and $46.26 million in FY2021 (+119.8%).
- The Q2 2026 figure stands as the highest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development increased in four of the last eight quarters, with growth averaging 12.1%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q2 2023, with growth of 128.1%; the weakest was Q3 2025, with a decline of 14.2%.
- According to Business Quant data, Research & Development for the three prior quarters was $33.84 million (Q1 2026), $34.16 million (Q4 2025) and $26.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Prokidney | 212.68 Mn | -274.64 Mn | - | 36.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.10 Mn |
| Mar 31, 2026 | 33.84 Mn |
| Dec 31, 2025 | 34.16 Mn |
| Sep 30, 2025 | 26.82 Mn |
| Jun 30, 2025 | 25.88 Mn |
| Mar 31, 2025 | 27.26 Mn |
| Dec 31, 2024 | 39.78 Mn |
| Sep 30, 2024 | 31.25 Mn |
| Jun 30, 2024 | 29.40 Mn |
| Mar 31, 2024 | 27.23 Mn |
| Dec 31, 2023 | 22.53 Mn |
| Sep 30, 2023 | 32.20 Mn |
| Jun 30, 2023 | 26.36 Mn |
| Mar 31, 2023 | 25.62 Mn |
| Dec 31, 2022 | 20.89 Mn |
| Sep 30, 2022 | 21.13 Mn |
| Jun 30, 2022 | 11.56 Mn |
| Mar 31, 2022 | 28.49 Mn |
| Dec 31, 2021 | 10.69 Mn |
| Sep 30, 2021 | 14.74 Mn |
API Access
Prokidney 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=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "PROK", "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=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();