Prokidney (PROK) Return on Capital Employed [ROCE] (2022 - 2026)
Prokidney (PROK) posted Return on Capital Employed [ROCE] of -71.40% for Q2 2026, down 21.06 percentage points from -50.34% a year earlier and down 12.93 percentage points from the prior quarter.
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Analysis
Prokidney (PROK) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Prokidney's Return on Capital Employed [ROCE] came in at -46.15%, up 0.40 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a three-year change of +10.89 percentage points (FY2022 to FY2025).
- In prior years, Prokidney's Return on Capital Employed [ROCE] was -46.55% in FY2024 (-12.44 pp), -34.11% in FY2023 (+22.93 pp) and -57.03% in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last seven quarters, with an average year-over-year change of -10.80 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2023, with a gain of 43.68 percentage points; the weakest was Q2 2026, with a drop of 21.06 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -58.47% (Q1 2026), -52.74% (Q4 2025) and -51.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | Prokidney | 874.22 Mn | 1.98 Bn | - | -71.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -71.40% |
| Mar 31, 2026 | -58.47% |
| Dec 31, 2025 | -52.74% |
| Sep 30, 2025 | -51.44% |
| Jun 30, 2025 | -50.34% |
| Mar 31, 2025 | -47.34% |
| Dec 31, 2024 | -43.55% |
| Sep 30, 2024 | -33.85% |
| Jun 30, 2024 | -36.41% |
| Mar 31, 2024 | -39.16% |
| Dec 31, 2023 | -36.85% |
| Sep 30, 2023 | -35.24% |
| Jun 30, 2023 | -31.49% |
| Mar 31, 2023 | -25.73% |
| Dec 31, 2022 | -29.75% |
| Sep 30, 2022 | -35.74% |
| Jun 30, 2022 | -48.57% |
| Mar 31, 2022 | -69.41% |
API Access
Prokidney Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();