Phreesia (PHR) Return on Sales [ROS] (2018 - 2026)
Phreesia's Return on Sales [ROS] was 5.88% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.16 percentage points from -1.29% a year earlier and up 0.72 percentage points from the prior quarter.
Phreesia (PHR) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Phreesia's Return on Sales [ROS] was 2.47% through Jul 31, 2026, up 8.31 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -1.38%, up 12.46 percentage points from FY2025.
- Return on Sales [ROS] has now increased for three consecutive fiscal years, with a five-year change of +15.89 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -13.84% in FY2025 (+24.47 pp), -38.30% in FY2024 (+24.55 pp), -62.85% in FY2023 (-8.07 pp) and -54.78% in FY2022 (-37.52 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Sales [ROS] in data going back to fiscal Q2 2019.
- Compared with a year earlier, Return on Sales [ROS] has increased for 16 straight quarters, with an average year-over-year change of +13.99 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2024 (a gain of 34.65 percentage points); the worst was fiscal Q4 2022 (a drop of 60.54 percentage points).
- Per Business Quant data, PHR's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 5.15% (Q1 2027), -4.37% (Q4 2026) and 3.11% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.25 Bn | 24.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 25.64 Bn | 22.41 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 21.48 Bn | 20.29 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 19.27 Bn | 11.94 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.93 Bn | 13.99 Bn | 674.90 Mn | 13.58% |
| 7 | Costar | 14.36 Bn | 8.33 Bn | 728.00 Mn | 8.22% |
| 8 | Manhattan Associates | 14.12 Bn | 13.11 Bn | 168.33 Mn | 22.24% |
| 9 | Duolingo | 13.22 Bn | 8.40 Bn | 216.74 Mn | 11.37% |
| 10 | Phreesia | 789.54 Mn | 789.54 Mn | 110.19 Mn | 5.88% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.88% |
| Apr 30, 2026 | 5.15% |
| Jan 31, 2026 | -4.37% |
| Oct 31, 2025 | 3.11% |
| Jul 31, 2025 | -1.29% |
| Apr 30, 2025 | -2.84% |
| Jan 31, 2025 | -6.94% |
| Oct 31, 2024 | -12.96% |
| Jul 31, 2024 | -16.87% |
| Apr 30, 2024 | -19.19% |
| Jan 31, 2024 | -31.13% |
| Oct 31, 2023 | -34.98% |
| Jul 31, 2023 | -43.06% |
| Apr 30, 2023 | -45.20% |
| Jan 31, 2023 | -51.98% |
| Oct 31, 2022 | -54.46% |
| Jul 31, 2022 | -68.27% |
| Apr 30, 2022 | -79.86% |
| Jan 31, 2022 | -80.34% |
| Oct 31, 2021 | -63.92% |
Phreesia 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=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();