Phreesia (PHR) Cost of Revenue (2018 - 2026)
Phreesia (PHR) recorded Cost of Revenue of $19.27 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.8% from $17.4 million a year earlier and up 9.1% from the prior quarter.
Phreesia (PHR) Cost of Revenue (2018 - 2026) Analysis & Trends
On a TTM basis, Phreesia's Cost of Revenue came in at $74.26 million as of Jul 31, 2026, up 8.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $71.37 million, up 7.8% from FY2025.
- Annual Cost of Revenue has increased for eight straight fiscal years, with a five-year compound annual growth rate of 24.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $66.23 million in FY2025 (+8.5%), $61.03 million in FY2024 (+3.5%), $58.94 million in FY2023 (+38.1%) and $42.67 million in FY2022 (+81.9%).
- The fiscal Q2 2027 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q2 2019.
- On a year-over-year basis, Cost of Revenue has increased for 12 consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 79.9% in fiscal Q3 2022, against a decline of 2.9% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $17.66 million (Q1 2027), $18.99 million (Q4 2026) and $18.34 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.28 Bn | 24.53 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 26.29 Bn | 23.06 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Ptc | 21.46 Bn | 20.27 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 1.39 Bn |
| 6 | Trimble | 14.81 Bn | 13.87 Bn | 674.90 Mn | 297.10 Mn |
| 7 | Manhattan Associates | 13.89 Bn | 12.88 Bn | 168.33 Mn | 129.46 Mn |
| 8 | Costar | 13.74 Bn | 7.71 Bn | 728.00 Mn | 197.00 Mn |
| 9 | Duolingo | 13.38 Bn | 8.55 Bn | 216.74 Mn | 81.71 Mn |
| 10 | Phreesia | 788.30 Mn | 788.30 Mn | 110.19 Mn | 19.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 19.27 Mn |
| Apr 30, 2026 | 17.66 Mn |
| Jan 31, 2026 | 18.99 Mn |
| Oct 31, 2025 | 18.34 Mn |
| Jul 31, 2025 | 17.40 Mn |
| Apr 30, 2025 | 16.64 Mn |
| Jan 31, 2025 | 16.51 Mn |
| Oct 31, 2024 | 17.85 Mn |
| Jul 31, 2024 | 16.14 Mn |
| Apr 30, 2024 | 15.72 Mn |
| Jan 31, 2024 | 16.14 Mn |
| Oct 31, 2023 | 15.53 Mn |
| Jul 31, 2023 | 14.45 Mn |
| Apr 30, 2023 | 14.91 Mn |
| Jan 31, 2023 | 15.12 Mn |
| Oct 31, 2022 | 14.56 Mn |
| Jul 31, 2022 | 14.87 Mn |
| Apr 30, 2022 | 14.39 Mn |
| Jan 31, 2022 | 12.46 Mn |
| Oct 31, 2021 | 11.64 Mn |
Phreesia Cost of Revenue 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=cost-of-revenue&ticker=PHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();