Phreesia (PHR) Selling, General & Administrative (2018 - 2026)
Phreesia's Selling, General & Administrative came in at $16.51 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 13.3% from $19.04 million a year earlier and down 10.1% from the prior quarter.
Phreesia (PHR) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Phreesia reported Selling, General & Administrative of $79.33 million, up 7.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $79.9 million, up 4.3% from FY2025.
- Selling, General & Administrative carries a five-year compound annual growth rate of 14.6% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $76.6 million in FY2025 (-4.2%), $79.93 million in FY2024 (-0.6%), $80.38 million in FY2023 (+17.1%) and $68.67 million in FY2022 (+69.7%).
- The fiscal Q2 2027 figure represents the lowest quarterly Selling, General & Administrative since fiscal Q1 2026.
- Year-over-year, Selling, General & Administrative increased in two of the last eight quarters, with growth averaging 1.6%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q4 2022 (growth of 85.2%), and the weakest in fiscal Q1 2026 (a decline of 13.9%).
- Business Quant data shows PHR's Selling, General & Administrative at $18.36 million (Q1 2027), $26.97 million (Q4 2026) and $17.49 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 59.97 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 89.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 26.74 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 114.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 65.22 Mn |
| 10 | Phreesia | 741.30 Mn | 741.30 Mn | 110.19 Mn | 16.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 16.51 Mn |
| Apr 30, 2026 | 18.36 Mn |
| Jan 31, 2026 | 26.97 Mn |
| Oct 31, 2025 | 17.49 Mn |
| Jul 31, 2025 | 19.04 Mn |
| Apr 30, 2025 | 16.41 Mn |
| Jan 31, 2025 | 18.42 Mn |
| Oct 31, 2024 | 19.63 Mn |
| Jul 31, 2024 | 19.50 Mn |
| Apr 30, 2024 | 19.05 Mn |
| Jan 31, 2024 | 18.82 Mn |
| Oct 31, 2023 | 20.24 Mn |
| Jul 31, 2023 | 20.99 Mn |
| Apr 30, 2023 | 19.88 Mn |
| Jan 31, 2023 | 19.86 Mn |
| Oct 31, 2022 | 19.60 Mn |
| Jul 31, 2022 | 20.07 Mn |
| Apr 30, 2022 | 20.86 Mn |
| Jan 31, 2022 | 21.74 Mn |
| Oct 31, 2021 | 18.02 Mn |
Phreesia Selling, General & Administrative 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=selling-general-and-administrative&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();