Phreesia (PHR) Non-Current Assets (2019 - 2026)
Phreesia (PHR) recorded Non-Current Assets of $393.47 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 111.6% from $185.99 million a year earlier but down 1.4% from the prior quarter.
Phreesia (PHR) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Phreesia reported Non-Current Assets of $383.95 million, up 107.4% from FY2025.
- Annual Non-Current Assets has increased for three straight fiscal years, with a five-year compound annual growth rate of 47.8% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $185.13 million in FY2025 (+6.0%), $174.64 million in FY2024 (+62.3%), $107.62 million in FY2023 (-0.5%) and $108.13 million in FY2022 (+98.8%).
- Quarterly Non-Current Assets has ranged from $64.79 million in fiscal Q3 2022 to $398.88 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 43.7% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 115.6% in fiscal Q1 2027, against a decline of 1.9% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $398.88 million (Q1 2027), $383.95 million (Q4 2026) and $182.57 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 5.14 Bn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 531.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 231.59 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 8.49 Bn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 3.00 Bn |
| 10 | Phreesia | 699.84 Mn | 699.84 Mn | 110.19 Mn | 393.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 393.47 Mn |
| Apr 30, 2026 | 398.88 Mn |
| Jan 31, 2026 | 383.95 Mn |
| Oct 31, 2025 | 182.57 Mn |
| Jul 31, 2025 | 185.99 Mn |
| Apr 30, 2025 | 184.99 Mn |
| Jan 31, 2025 | 185.13 Mn |
| Oct 31, 2024 | 186.13 Mn |
| Jul 31, 2024 | 181.31 Mn |
| Apr 30, 2024 | 181.19 Mn |
| Jan 31, 2024 | 174.64 Mn |
| Oct 31, 2023 | 175.41 Mn |
| Jul 31, 2023 | 121.21 Mn |
| Apr 30, 2023 | 113.70 Mn |
| Jan 31, 2023 | 107.62 Mn |
| Oct 31, 2022 | 110.42 Mn |
| Jul 31, 2022 | 109.49 Mn |
| Apr 30, 2022 | 109.87 Mn |
| Jan 31, 2022 | 108.13 Mn |
| Oct 31, 2021 | 64.79 Mn |
Phreesia Non-Current Assets 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=non-current-assets&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();