Phreesia (PHR) Property, Plant & Equipment (Net) (2019 - 2026)
Phreesia's Property, Plant & Equipment (Net) came in at $18.12 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 20.4% from $22.77 million a year earlier and down 11.9% from the prior quarter.
Phreesia (PHR) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Phreesia's Property, Plant & Equipment (Net) was $20.33 million, down 14.0% from FY2025.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -5.3% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $23.65 million in FY2025 (+39.9%), $16.9 million in FY2024 (-22.0%), $21.67 million in FY2023 (-37.5%) and $34.65 million in FY2022 (+30.0%).
- The fiscal Q2 2027 figure represents the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2024.
- Year-over-year, Property, Plant & Equipment (Net) has declined for four consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q3 2022 (growth of 71.0%), and the weakest in fiscal Q4 2023 (a decline of 37.5%).
- Business Quant data shows PHR's Property, Plant & Equipment (Net) at $20.57 million (Q1 2027), $20.33 million (Q4 2026) and $21.11 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 62.84 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 149.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 183.20 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 24.61 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 1.44 Bn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 42.37 Mn |
| 10 | Phreesia | 741.30 Mn | 741.30 Mn | 110.19 Mn | 18.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 18.12 Mn |
| Apr 30, 2026 | 20.57 Mn |
| Jan 31, 2026 | 20.33 Mn |
| Oct 31, 2025 | 21.11 Mn |
| Jul 31, 2025 | 22.77 Mn |
| Apr 30, 2025 | 23.49 Mn |
| Jan 31, 2025 | 23.65 Mn |
| Oct 31, 2024 | 25.97 Mn |
| Jul 31, 2024 | 20.96 Mn |
| Apr 30, 2024 | 22.11 Mn |
| Jan 31, 2024 | 16.90 Mn |
| Oct 31, 2023 | 19.90 Mn |
| Jul 31, 2023 | 22.82 Mn |
| Apr 30, 2023 | 26.23 Mn |
| Jan 31, 2023 | 21.67 Mn |
| Oct 31, 2022 | 26.33 Mn |
| Jul 31, 2022 | 28.56 Mn |
| Apr 30, 2022 | 31.81 Mn |
| Jan 31, 2022 | 34.65 Mn |
| Oct 31, 2021 | 32.76 Mn |
Phreesia Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();