Phreesia (PHR) EPS (Diluted) (2020 - 2026)
Phreesia (PHR) recorded EPS (Diluted) of $0.03 in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 189.6% from $0.01 a year earlier but down 35.7% from the prior quarter.
Phreesia (PHR) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a TTM basis, Phreesia's EPS (Diluted) came in at $0.17 as of Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it was $0.04.
- Across earlier fiscal years, EPS (Diluted) came in at -$1.02 in FY2025, -$2.51 in FY2024, -$3.36 in FY2023 and -$2.37 in FY2022.
- Quarterly EPS (Diluted) has ranged from -$0.99 in fiscal Q1 2023 to $0.07 in fiscal Q3 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $0.05 (Q1 2027), $0.02 (Q4 2026) and $0.07 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 0.03 |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 1.03 |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 0.26 |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | -2.02 |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 0.85 |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 0.14 |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 0.25 |
| 10 | Phreesia | 699.84 Mn | 699.84 Mn | 110.19 Mn | 0.03 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.03 |
| Apr 30, 2026 | 0.05 |
| Jan 31, 2026 | 0.02 |
| Oct 31, 2025 | 0.07 |
| Jul 31, 2025 | 0.01 |
| Apr 30, 2025 | -0.07 |
| Jan 31, 2025 | -0.11 |
| Oct 31, 2024 | -0.25 |
| Jul 31, 2024 | -0.31 |
| Apr 30, 2024 | -0.35 |
| Jan 31, 2024 | -0.56 |
| Oct 31, 2023 | -0.58 |
| Jul 31, 2023 | -0.68 |
| Apr 30, 2023 | -0.70 |
| Jan 31, 2023 | -0.73 |
| Oct 31, 2022 | -0.76 |
| Jul 31, 2022 | -0.89 |
| Apr 30, 2022 | -0.99 |
| Jan 31, 2022 | -0.93 |
| Oct 31, 2021 | -0.71 |
Phreesia EPS (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=eps-diluted&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();