Prokidney (PROK) Net Margin (2024 - 2026)
Prokidney (PROK) recorded Net Margin of -30957.33% in Q2 2026, down 14231.09 percentage points from -16726.24% a year earlier and down 12098.48 percentage points from the prior quarter.
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Analysis
Prokidney (PROK) Net Margin (2024 - 2026) Analysis & Trends
On a TTM basis, Prokidney's Net Margin came in at -20263.08% as of Jun 30, 2026, up 10942.42 percentage points year-over-year; for FY2025, it came in at -7725.20%, up 72782.70 percentage points from FY2024.
- Across earlier years, Net Margin came in at -80507.89% in FY2024.
- The Q2 2026 figure is the lowest quarterly Net Margin since Q4 2024.
- Per Business Quant, the preceding three quarters came in at -18858.85% (Q1 2026), -18156.44% (Q4 2025) and -16517.51% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 32.99% |
| 10 | Prokidney | 823.10 Mn | 1.93 Bn | - | -30,957.33% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30,957.33% |
| Mar 31, 2026 | -18,858.85% |
| Dec 31, 2025 | -18,156.44% |
| Sep 30, 2025 | -16,517.51% |
| Jun 30, 2025 | -16,726.24% |
| Mar 31, 2025 | -16,500.87% |
| Dec 31, 2024 | -63,793.42% |
API Access
Prokidney Net Margin 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=net-margin&ticker=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();