Phreesia (PHR) Return on Capital Employed [ROCE] (2019 - 2026)
Phreesia (PHR) reported Return on Capital Employed [ROCE] of 2.45% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 11.21 percentage points from -8.77% a year earlier and up 1.78 percentage points from the prior quarter.
Phreesia (PHR) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Phreesia posted Return on Capital Employed [ROCE] of -1.93%, up 19.97 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a five-year change of +11.75 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at -21.89% in FY2025 (+30.58 pp), -52.48% in FY2024 (-2.49 pp), -49.98% in FY2023 (-15.84 pp) and -34.14% in FY2022 (-20.47 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q3 2020.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last 11 quarters, with an average year-over-year change of +23.64 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q4 2025 (a gain of 30.34 percentage points); the low point was fiscal Q2 2023 (a drop of 38.58 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 0.67% (Q1 2027), -1.83% (Q4 2026) and -2.73% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 1.12% |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 21.53% |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 21.19% |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 8.74% |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 112.05% |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 0.82% |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 14.73% |
| 10 | Phreesia | 741.30 Mn | 741.30 Mn | 110.19 Mn | 2.45% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.45% |
| Apr 30, 2026 | 0.67% |
| Jan 31, 2026 | -1.83% |
| Oct 31, 2025 | -2.73% |
| Jul 31, 2025 | -8.77% |
| Apr 30, 2025 | -14.79% |
| Jan 31, 2025 | -21.68% |
| Oct 31, 2024 | -30.82% |
| Jul 31, 2024 | -37.06% |
| Apr 30, 2024 | -44.88% |
| Jan 31, 2024 | -52.02% |
| Oct 31, 2023 | -56.62% |
| Jul 31, 2023 | -58.90% |
| Apr 30, 2023 | -58.74% |
| Jan 31, 2023 | -57.95% |
| Oct 31, 2022 | -54.10% |
| Jul 31, 2022 | -48.38% |
| Apr 30, 2022 | -38.61% |
| Jan 31, 2022 | -26.35% |
| Oct 31, 2021 | -16.51% |
Phreesia 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=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "PHR", "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=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();