Phreesia (PHR) Capital Expenditures (2018 - 2026)
Phreesia (PHR) recorded Capital Expenditures of $492,000 in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 72.2% from $1.77 million a year earlier and down 88.6% from the prior quarter.
Phreesia (PHR) Capital Expenditures (2018 - 2026) Analysis & Trends
On a TTM basis, Phreesia's Capital Expenditures came in at $10.63 million as of Jul 31, 2026, up 22.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $11.1 million, up 27.5% from FY2025.
- Annual Capital Expenditures has increased for three straight fiscal years, though with a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $8.71 million in FY2025 (+50.0%), $5.81 million in FY2024 (+22.7%), $4.73 million in FY2023 (-74.3%) and $18.42 million in FY2022 (+63.9%).
- The fiscal Q2 2027 figure is the lowest quarterly Capital Expenditures in data going back to fiscal Q3 2019.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with growth averaging 72.1%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 549.4% in fiscal Q3 2022, against a decline of 87.9% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.31 million (Q1 2027), $2.56 million (Q4 2026) and $3.27 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 8.78 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 11.28 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 14.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 7.10 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 1.01 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 38.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 7.72 Mn |
| 10 | Phreesia | 741.30 Mn | 741.30 Mn | 110.19 Mn | 492,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 492,000.00 |
| Apr 30, 2026 | 4.31 Mn |
| Jan 31, 2026 | 2.56 Mn |
| Oct 31, 2025 | 3.27 Mn |
| Jul 31, 2025 | 1.77 Mn |
| Apr 30, 2025 | 3.50 Mn |
| Jan 31, 2025 | 2.79 Mn |
| Oct 31, 2024 | 616,000.00 |
| Jul 31, 2024 | 4.43 Mn |
| Apr 30, 2024 | 876,000.00 |
| Jan 31, 2024 | 2.46 Mn |
| Oct 31, 2023 | 1.24 Mn |
| Jul 31, 2023 | 755,000.00 |
| Apr 30, 2023 | 1.35 Mn |
| Jan 31, 2023 | 704,000.00 |
| Oct 31, 2022 | 1.39 Mn |
| Jul 31, 2022 | 849,000.00 |
| Apr 30, 2022 | 1.79 Mn |
| Jan 31, 2022 | 1.82 Mn |
| Oct 31, 2021 | 11.57 Mn |
Phreesia Capital Expenditures 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=capital-expenditures&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();