Phreesia (PHR) Amortization - Intangibles (2018 - 2026)
Phreesia (PHR) reported Amortization - Intangibles of $6.66 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 61.1% from $4.13 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Phreesia (PHR) Amortization - Intangibles (2018 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Phreesia's Amortization - Intangibles came in at $23.7 million, up 56.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $18.48 million, up 34.9% from FY2025.
- Amortization - Intangibles has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 24.7% (FY2021 to FY2026).
- By fiscal year, Amortization - Intangibles came in at $13.7 million in FY2025 (+15.1%), $11.9 million in FY2024 (+62.7%), $7.32 million in FY2023 (+15.8%) and $6.32 million in FY2022 (+2.9%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Amortization - Intangibles in data going back to fiscal Q2 2019.
- Year over year, Amortization - Intangibles has now increased in each of the last six quarters, with growth averaging 34.8% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was fiscal Q4 2024 (growth of 69.9%); the low point was fiscal Q4 2025 (a decline of 6.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $6.58 million (Q1 2027), $6.18 million (Q4 2026) and $4.28 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 | 52.05 Bn | 24.30 Bn | 695.95 Mn |
| 3 | Samsara | 25.30 Bn | 22.08 Bn | 392.58 Mn |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn |
| 5 | Toast | 18.84 Bn | 11.51 Bn | 516.00 Mn |
| 6 | Trimble | 14.60 Bn | 13.67 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.86 Bn | 12.85 Bn | 168.33 Mn |
| 8 | Costar | 13.30 Bn | 7.25 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.98 Bn | 11.44 Bn | 336.74 Mn |
| 10 | Phreesia | 763.58 Mn | 763.58 Mn | 110.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.66 Mn |
| Apr 30, 2026 | 6.58 Mn |
| Jan 31, 2026 | 6.18 Mn |
| Oct 31, 2025 | 4.28 Mn |
| Jul 31, 2025 | 4.13 Mn |
| Apr 30, 2025 | 3.89 Mn |
| Jan 31, 2025 | 3.65 Mn |
| Oct 31, 2024 | 3.52 Mn |
| Jul 31, 2024 | 3.38 Mn |
| Apr 30, 2024 | 3.15 Mn |
| Jan 31, 2024 | 3.90 Mn |
| Oct 31, 2023 | 2.98 Mn |
| Jul 31, 2023 | 2.54 Mn |
| Apr 30, 2023 | 2.49 Mn |
| Jan 31, 2023 | 2.30 Mn |
| Oct 31, 2022 | 1.82 Mn |
| Jul 31, 2022 | 1.60 Mn |
| Apr 30, 2022 | 1.60 Mn |
| Jan 31, 2022 | 1.57 Mn |
| Oct 31, 2021 | 1.51 Mn |
API Access
Phreesia Amortization - Intangibles 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=amortization-intangibles&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();