Precipio (PRPO) Return on Capital Employed [ROCE] (2011 - 2026)
Precipio (PRPO) recorded Return on Capital Employed [ROCE] of -8.46% in Q3 2026, up 4.93 percentage points from -13.39% a year earlier and up 0.45 percentage points from the prior quarter.
Precipio (PRPO) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Precipio reported Return on Capital Employed [ROCE] of -7.80%, up 23.95 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three straight years, with a five-year change of +51.37 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -31.75% in FY2024 (+13.98 pp), -45.73% in FY2023 (+13.48 pp), -59.22% in FY2022 (-14.22 pp) and -45.00% in FY2021 (+14.18 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -73.83% in Q2 2023 to -6.88% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for 12 consecutive quarters, with an average year-over-year change of +18.11 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 28.71 percentage points in Q2 2024, against a drop of 34.74 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -8.91% (Q2 2026), -10.27% (Q1 2026) and -6.88% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 105.29 Bn | 103.13 Bn | 17.03 Bn | 27.97% |
| 2 | Natera | 46.06 Bn | 41.68 Bn | 513.47 Mn | -12.46% |
| 3 | Labcorp Holdings | 30.09 Bn | 28.19 Bn | 1.11 Bn | 9.44% |
| 4 | Quest Diagnostics | 28.58 Bn | 26.66 Bn | 1.04 Bn | 11.30% |
| 5 | Guardant Health | 20.44 Bn | 16.05 Bn | 236.15 Mn | -33.03% |
| 6 | BrightSpring Health Services | 14.16 Bn | 11.04 Bn | 518.55 Mn | 11.79% |
| 7 | Encompass Health | 13.83 Bn | 14.29 Bn | 1.54 Bn | 13.69% |
| 8 | Tempus AI | 12.69 Bn | 9.84 Bn | 266.70 Mn | -14.14% |
| 9 | Davita | 11.06 Bn | 9.92 Bn | 1.13 Bn | 14.26% |
| 10 | Precipio | 39.68 Mn | 27.77 Mn | 3.38 Mn | -8.46% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.46% |
| Jun 30, 2026 | -8.91% |
| Mar 31, 2026 | -10.27% |
| Dec 31, 2025 | -6.88% |
| Sep 30, 2025 | -13.39% |
| Jun 30, 2025 | -18.76% |
| Mar 31, 2025 | -22.98% |
| Dec 31, 2024 | -33.19% |
| Sep 30, 2024 | -37.40% |
| Jun 30, 2024 | -45.13% |
| Mar 31, 2024 | -47.51% |
| Dec 31, 2023 | -49.37% |
| Sep 30, 2023 | -65.84% |
| Jun 30, 2023 | -73.83% |
| Mar 31, 2023 | -69.00% |
| Dec 31, 2022 | -70.45% |
| Sep 30, 2022 | -65.72% |
| Jun 30, 2022 | -55.74% |
| Mar 31, 2022 | -49.52% |
| Dec 31, 2021 | -35.86% |
Precipio 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=PRPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "PRPO", "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=PRPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();