Phreesia (PHR) Gross Margin (2018 - 2026)
Phreesia (PHR) posted Gross Margin of 85.11% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.05 percentage points from 85.16% a year earlier and down 1.40 percentage points from the prior quarter.
Phreesia (PHR) Gross Margin (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Gross Margin at Phreesia was 85.38%, up 0.59 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 85.15%, up 0.93 percentage points from FY2025.
- Annual Gross Margin has increased for three consecutive fiscal years, with a five-year change of +0.93 percentage points (FY2021 to FY2026).
- In prior fiscal years, Phreesia's Gross Margin was 84.22% in FY2025 (+1.35 pp), 82.87% in FY2024 (+3.86 pp), 79.02% in FY2023 (-0.97 pp) and 79.99% in FY2022 (-4.23 pp).
- Quarterly Gross Margin has run from a low of 77.29% in fiscal Q1 2023 to a high of 86.51% in fiscal Q1 2027 over five years.
- On a year-over-year basis, Gross Margin increased in seven of the last eight quarters, with an average year-over-year change of +0.84 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q2 2024, with a gain of 5.08 percentage points; the weakest was fiscal Q1 2023, with a drop of 5.04 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 86.51% (Q1 2027), 85.05% (Q4 2026) and 84.76% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.15 Bn | 24.40 Bn | 695.95 Mn | 75.00% |
| 3 | Samsara | 24.95 Bn | 21.72 Bn | 392.58 Mn | 77.21% |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 81.74% |
| 5 | Toast | 18.85 Bn | 11.52 Bn | 516.00 Mn | 27.04% |
| 6 | Trimble | 14.33 Bn | 13.39 Bn | 674.90 Mn | 69.43% |
| 7 | Manhattan Associates | 13.59 Bn | 12.58 Bn | 168.33 Mn | 56.53% |
| 8 | Costar | 13.29 Bn | 7.25 Bn | 728.00 Mn | 78.70% |
| 9 | Bentley Systems | 11.86 Bn | 11.32 Bn | 336.74 Mn | 81.99% |
| 10 | Phreesia | 730.78 Mn | 730.78 Mn | 110.19 Mn | 85.11% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 85.11% |
| Apr 30, 2026 | 86.51% |
| Jan 31, 2026 | 85.05% |
| Oct 31, 2025 | 84.76% |
| Jul 31, 2025 | 85.16% |
| Apr 30, 2025 | 85.65% |
| Jan 31, 2025 | 84.95% |
| Oct 31, 2024 | 83.28% |
| Jul 31, 2024 | 84.19% |
| Apr 30, 2024 | 84.47% |
| Jan 31, 2024 | 83.01% |
| Oct 31, 2023 | 83.05% |
| Jul 31, 2023 | 83.17% |
| Apr 30, 2023 | 82.22% |
| Jan 31, 2023 | 80.25% |
| Oct 31, 2022 | 80.08% |
| Jul 31, 2022 | 78.09% |
| Apr 30, 2022 | 77.29% |
| Jan 31, 2022 | 78.53% |
| Oct 31, 2021 | 79.18% |
Phreesia Gross Margin 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=gross-margin&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();