Phreesia (PHR) Non Operating Interest Expenses (2025 - 2026)
Phreesia (PHR) recorded Non Operating 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) Non Operating Interest Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Phreesia's Non Operating 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, Non Operating Interest Expenses came in at $2.35 million in FY2025 (+26.6%) and $1.85 million in FY2024.
- Quarterly Non Operating 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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.32 Bn | 24.56 Bn | 695.95 Mn | - |
| 3 | Samsara | 25.54 Bn | 22.32 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.28 Bn | 21.10 Bn | 490.47 Mn | 15.80 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.79 Bn | 13.86 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Costar | 14.24 Bn | 8.19 Bn | 728.00 Mn | - |
| 8 | Manhattan Associates | 14.17 Bn | 13.16 Bn | 168.33 Mn | - |
| 9 | Bentley Systems | 12.29 Bn | 11.75 Bn | 336.74 Mn | - |
| 10 | Phreesia | 780.59 Mn | 780.59 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 Non Operating 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=non-operating-interest-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();