Healthstream (HSTM) Operating Expenses (2010 - 2026)
Healthstream's Operating Expenses came in at $75.41 million for Q2 2026, up 10.1% from $68.51 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Healthstream (HSTM) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Healthstream reported Operating Expenses of $295.31 million, up 7.9% year-over-year; for FY2025, it came in at $283.83 million, up 5.0% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $270.36 million in FY2024 (+2.8%), $263.04 million in FY2023 (+3.4%), $254.38 million in FY2022 (+2.3%) and $248.66 million in FY2021 (+8.6%).
- The five-year range for quarterly Operating Expenses is $61.33 million (Q1 2022) to $77.31 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for 23 consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 0.9% (Q3 2023) to 11.2% (Q4 2025).
- Business Quant data shows HSTM's Operating Expenses at $73.69 million (Q1 2026), $77.31 million (Q4 2025) and $68.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Healthstream | 852.05 Mn | 569.23 Mn | 54.72 Mn | 75.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.41 Mn |
| Mar 31, 2026 | 73.69 Mn |
| Dec 31, 2025 | 77.31 Mn |
| Sep 30, 2025 | 68.91 Mn |
| Jun 30, 2025 | 68.51 Mn |
| Mar 31, 2025 | 69.11 Mn |
| Dec 31, 2024 | 69.55 Mn |
| Sep 30, 2024 | 66.60 Mn |
| Jun 30, 2024 | 67.15 Mn |
| Mar 31, 2024 | 67.07 Mn |
| Dec 31, 2023 | 66.33 Mn |
| Sep 30, 2023 | 65.48 Mn |
| Jun 30, 2023 | 65.19 Mn |
| Mar 31, 2023 | 66.06 Mn |
| Dec 31, 2022 | 65.46 Mn |
| Sep 30, 2022 | 64.90 Mn |
| Jun 30, 2022 | 62.69 Mn |
| Mar 31, 2022 | 61.33 Mn |
| Dec 31, 2021 | 64.80 Mn |
| Sep 30, 2021 | 62.31 Mn |
API Access
Healthstream Operating 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=operating-expenses&ticker=HSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HSTM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();