Phreesia (PHR) Operating Expenses (2018 - 2026)
Phreesia (PHR) posted Operating Expenses of $121.85 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.6% from $118.76 million a year earlier but down 1.9% from the prior quarter.
Phreesia (PHR) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Phreesia was $495.25 million, up 4.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $487.2 million, up 1.9% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 22.8% (FY2021 to FY2026).
- In prior fiscal years, Phreesia's Operating Expenses was $477.91 million in FY2025 (-3.0%), $492.78 million in FY2024 (+7.7%), $457.46 million in FY2023 (+38.6%) and $330.05 million in FY2022 (+89.3%).
- Quarterly Operating Expenses has run from a low of $91.66 million in fiscal Q3 2022 to a high of $132.62 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 108.9%; the weakest was fiscal Q4 2025, with a decline of 5.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $124.19 million (Q1 2027), $132.62 million (Q4 2026) and $116.59 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.80 Bn | 24.05 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.52 Bn | 21.29 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.15 Bn | 20.96 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.76 Bn | 11.43 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.24 Bn | 13.30 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.46 Bn | 12.46 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.19 Bn | 7.14 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.76 Bn | 11.22 Bn | 336.74 Mn | 248.13 Mn |
| 10 | Phreesia | 725.21 Mn | 725.21 Mn | 110.19 Mn | 121.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 121.85 Mn |
| Apr 30, 2026 | 124.19 Mn |
| Jan 31, 2026 | 132.62 Mn |
| Oct 31, 2025 | 116.59 Mn |
| Jul 31, 2025 | 118.76 Mn |
| Apr 30, 2025 | 119.22 Mn |
| Jan 31, 2025 | 117.29 Mn |
| Oct 31, 2024 | 120.64 Mn |
| Jul 31, 2024 | 119.34 Mn |
| Apr 30, 2024 | 120.64 Mn |
| Jan 31, 2024 | 124.58 Mn |
| Oct 31, 2023 | 123.66 Mn |
| Jul 31, 2023 | 122.79 Mn |
| Apr 30, 2023 | 121.75 Mn |
| Jan 31, 2023 | 116.40 Mn |
| Oct 31, 2022 | 112.91 Mn |
| Jul 31, 2022 | 114.20 Mn |
| Apr 30, 2022 | 113.95 Mn |
| Jan 31, 2022 | 104.64 Mn |
| Oct 31, 2021 | 91.66 Mn |
Phreesia Operating Expenses 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=operating-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();