Healthequity (HQY) Selling, General & Administrative (2013 - 2026)
Healthequity (HQY) recorded Selling, General & Administrative of $34.87 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 16.3% from $29.99 million a year earlier and up 12.0% from the prior quarter.
Healthequity (HQY) Selling, General & Administrative (2013 - 2026) Analysis & Trends
On a TTM basis, Healthequity's Selling, General & Administrative came in at $130.41 million as of Jul 31, 2026, up 11.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $119.93 million, down 9.3% from FY2025.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- Across earlier fiscal years, Selling, General & Administrative came in at $132.26 million in FY2025 (+27.6%), $103.66 million in FY2024 (+6.3%), $97.47 million in FY2023 (+14.1%) and $85.44 million in FY2022 (+1.1%).
- The fiscal Q2 2027 figure is the highest quarterly Selling, General & Administrative since fiscal Q1 2025.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 49.7% in fiscal Q1 2025, against a decline of 33.2% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $31.13 million (Q1 2027), $33.53 million (Q4 2026) and $30.88 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | - |
| 10 | Healthequity | 7.47 Bn | 6.32 Bn | 257.95 Mn | 34.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 34.87 Mn |
| Apr 30, 2026 | 31.13 Mn |
| Jan 31, 2026 | 33.53 Mn |
| Oct 31, 2025 | 30.88 Mn |
| Jul 31, 2025 | 29.99 Mn |
| Apr 30, 2025 | 25.54 Mn |
| Jan 31, 2025 | 29.98 Mn |
| Oct 31, 2024 | 31.79 Mn |
| Jul 31, 2024 | 32.26 Mn |
| Apr 30, 2024 | 38.24 Mn |
| Jan 31, 2024 | 23.14 Mn |
| Oct 31, 2023 | 27.15 Mn |
| Jul 31, 2023 | 27.83 Mn |
| Apr 30, 2023 | 25.54 Mn |
| Jan 31, 2023 | 22.68 Mn |
| Oct 31, 2022 | 25.13 Mn |
| Jul 31, 2022 | 25.94 Mn |
| Apr 30, 2022 | 23.73 Mn |
| Jan 31, 2022 | 21.94 Mn |
| Oct 31, 2021 | 20.00 Mn |
Healthequity 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=HQY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "HQY", "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=HQY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();