Prokidney (PROK) Return on Sales [ROS] (2021 - 2026)
Prokidney (PROK) reported Return on Sales [ROS] of -32248.67% for Q2 2026, down 14280.79 percentage points from -17967.87% a year earlier and down 12366.81 percentage points from the prior quarter.
Prokidney (PROK) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Prokidney's Return on Sales [ROS] came in at -21664.55%, up 12802.44 percentage points year-over-year; for FY2025, it was -18477.83%, up 223201.12 percentage points from FY2024.
- By year, Return on Sales [ROS] came in at -241678.95% in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -19881.86% (Q1 2026), -20164.89% (Q4 2025) and -17759.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Prokidney | 567.48 Mn | 1.19 Bn | - | -32,248.67% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32,248.67% |
| Mar 31, 2026 | -19,881.86% |
| Dec 31, 2025 | -20,164.89% |
| Sep 30, 2025 | -17,759.91% |
| Jun 30, 2025 | -17,967.87% |
| Mar 31, 2025 | -17,994.78% |
| Dec 31, 2024 | -67,856.58% |
| Sep 30, 2024 | -5,140.25% |
| Sep 30, 2021 | -561.69% |
Prokidney Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();