Phreesia (PHR) Shares Outstanding (Diluted) (2020 - 2026)
Phreesia (PHR) recorded Shares Outstanding (Diluted) of 62.46 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.3% from 61.69 million a year earlier and up 0.7% from the prior quarter.
Phreesia (PHR) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Phreesia reported Shares Outstanding (Diluted) of 61.49 million, up 6.8% from FY2025.
- Annual Shares Outstanding (Diluted) has increased for six straight fiscal years, with a five-year compound annual growth rate of 9.2% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 57.59 million in FY2025 (+5.6%), 54.56 million in FY2024 (+4.0%), 52.44 million in FY2023 (+5.1%) and 49.89 million in FY2022 (+26.2%).
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 23 consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 1.3% (fiscal Q2 2027) to 32.5% (fiscal Q3 2022).
- Per Business Quant, the preceding three fiscal quarters came in at 62.04 million (Q1 2027), 61.49 million (Q4 2026) and 61.56 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.44 Bn | 24.68 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 25.48 Bn | 22.25 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Ptc | 22.26 Bn | 21.08 Bn | 490.47 Mn | 114.98 Mn |
| 5 | Toast | 19.16 Bn | 11.83 Bn | 516.00 Mn | 590.00 Mn |
| 6 | Trimble | 14.87 Bn | 13.94 Bn | 674.90 Mn | 233.00 Mn |
| 7 | Costar | 14.28 Bn | 8.23 Bn | 728.00 Mn | 404.40 Mn |
| 8 | Manhattan Associates | 14.12 Bn | 13.12 Bn | 168.33 Mn | 59.00 Mn |
| 9 | Bentley Systems | 12.24 Bn | 11.70 Bn | 336.74 Mn | 318.96 Mn |
| 10 | Phreesia | 783.38 Mn | 783.38 Mn | 110.19 Mn | 62.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 62.46 Mn |
| Apr 30, 2026 | 62.04 Mn |
| Jan 31, 2026 | 61.49 Mn |
| Oct 31, 2025 | 61.56 Mn |
| Jul 31, 2025 | 61.69 Mn |
| Apr 30, 2025 | 58.92 Mn |
| Jan 31, 2025 | 57.59 Mn |
| Oct 31, 2024 | 57.89 Mn |
| Jul 31, 2024 | 57.50 Mn |
| Apr 30, 2024 | 56.67 Mn |
| Jan 31, 2024 | 54.56 Mn |
| Oct 31, 2023 | 55.25 Mn |
| Jul 31, 2023 | 53.79 Mn |
| Apr 30, 2023 | 53.35 Mn |
| Jan 31, 2023 | 52.44 Mn |
| Oct 31, 2022 | 52.61 Mn |
| Jul 31, 2022 | 52.33 Mn |
| Apr 30, 2022 | 51.94 Mn |
| Jan 31, 2022 | 49.89 Mn |
| Oct 31, 2021 | 51.02 Mn |
Phreesia Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();