Phreesia (PHR) Accumulated Expenses (2019 - 2026)
Phreesia (PHR) recorded Accumulated Expenses of $35.71 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.7% from $34.78 million a year earlier and up 17.0% from the prior quarter.
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Analysis
Phreesia (PHR) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Phreesia reported Accumulated Expenses of $41.26 million, up 10.1% from FY2025.
- Annual Accumulated Expenses has increased for seven straight fiscal years, with a five-year compound annual growth rate of 17.6% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $37.46 million in FY2025 (+0.9%), $37.13 million in FY2024 (+70.2%), $21.81 million in FY2023 (+8.4%) and $20.13 million in FY2022 (+9.8%).
- Quarterly Accumulated Expenses has ranged from $17.93 million in fiscal Q2 2023 to $41.26 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 2.5%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 70.2% in fiscal Q4 2024, against a decline of 10.4% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $30.52 million (Q1 2027), $41.26 million (Q4 2026) and $30.52 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn |
| 10 | Phreesia | 699.84 Mn | 699.84 Mn | 110.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 35.71 Mn |
| Apr 30, 2026 | 30.52 Mn |
| Jan 31, 2026 | 41.26 Mn |
| Oct 31, 2025 | 30.52 Mn |
| Jul 31, 2025 | 34.78 Mn |
| Apr 30, 2025 | 34.06 Mn |
| Jan 31, 2025 | 37.46 Mn |
| Oct 31, 2024 | 29.08 Mn |
| Jul 31, 2024 | 32.67 Mn |
| Apr 30, 2024 | 33.23 Mn |
| Jan 31, 2024 | 37.13 Mn |
| Oct 31, 2023 | 28.29 Mn |
| Jul 31, 2023 | 27.79 Mn |
| Apr 30, 2023 | 23.28 Mn |
| Jan 31, 2023 | 21.81 Mn |
| Oct 31, 2022 | 20.34 Mn |
| Jul 31, 2022 | 17.93 Mn |
| Apr 30, 2022 | 18.42 Mn |
| Jan 31, 2022 | 20.13 Mn |
| Oct 31, 2021 | 18.89 Mn |
API Access
Phreesia Accumulated 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=accumulated-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();