Phreesia (PHR) Interest Expenses (2025 - 2026)
Phreesia (PHR) recorded Interest Expenses of $1.73 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 342.2% from $391,000 a year earlier but down 24.8% from the prior quarter.
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Analysis
Phreesia (PHR) Interest Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Phreesia's Interest Expenses came in at $4.85 million as of Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it came in at $6.95 million, up 196.3% from FY2025.
- Across earlier fiscal years, Interest Expenses came in at $2.35 million in FY2025 (+26.6%) and $1.85 million in FY2024.
- Quarterly Interest Expenses has ranged from $391,000 in fiscal Q2 2026 to $2.3 million in fiscal Q1 2027 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.95 Bn | 23.20 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.81 Bn | 21.58 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 15.80 Mn |
| 5 | Toast | 18.92 Bn | 11.58 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.34 Bn | 13.41 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Manhattan Associates | 13.60 Bn | 12.60 Bn | 168.33 Mn | - |
| 8 | Costar | 13.33 Bn | 7.28 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.92 Bn | 11.38 Bn | 336.74 Mn | - |
| 10 | Phreesia | 730.27 Mn | 730.27 Mn | 110.19 Mn | 1.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.73 Mn |
| Apr 30, 2026 | 2.30 Mn |
| Jul 31, 2025 | 391,000.00 |
| Apr 30, 2025 | 435,000.00 |
API Access
Phreesia Interest 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=interest-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();