Phreesia (PHR) Exchange Rate Effect (2024 - 2026)
Phreesia's Exchange Rate Effect was $25,000 in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$89,000 a year earlier.
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Analysis
Phreesia (PHR) Exchange Rate Effect (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Phreesia's Exchange Rate Effect was -$157,000 through Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it came in at -$176,000.
- In earlier fiscal years, Exchange Rate Effect was -$106,000 in FY2025.
- The fiscal Q2 2027 figure marks the highest quarterly Exchange Rate Effect since fiscal Q1 2026.
- Per Business Quant data, PHR's Exchange Rate Effect in the three fiscal quarters before Q2 2027 was -$64,000 (Q1 2027), -$89,000 (Q4 2026) and -$29,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.94 Bn | 24.19 Bn | 695.95 Mn | -299,000.00 |
| 3 | Samsara | 24.48 Bn | 21.25 Bn | 392.58 Mn | -1.92 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | -3.57 Mn |
| 5 | Toast | 18.70 Bn | 11.37 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.28 Bn | 13.34 Bn | 674.90 Mn | -3.30 Mn |
| 7 | Manhattan Associates | 13.46 Bn | 12.45 Bn | 168.33 Mn | -2.61 Mn |
| 8 | Costar | 13.29 Bn | 7.24 Bn | 728.00 Mn | -1.00 Mn |
| 9 | Bentley Systems | 11.81 Bn | 11.27 Bn | 336.74 Mn | -1.48 Mn |
| 10 | Phreesia | 727.07 Mn | 727.07 Mn | 110.19 Mn | 25,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 25,000.00 |
| Apr 30, 2026 | -64,000.00 |
| Jan 31, 2026 | -89,000.00 |
| Oct 31, 2025 | -29,000.00 |
| Jul 31, 2025 | -89,000.00 |
| Apr 30, 2025 | 31,000.00 |
| Jan 31, 2025 | -89,000.00 |
| Oct 31, 2024 | -10,000.00 |
| Jul 31, 2024 | -6,000.00 |
| Apr 30, 2024 | -1,000.00 |
API Access
Phreesia Exchange Rate Effect 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=exchange-rate-effect&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();