Healthstream (HSTM) Change in Accured Expenses (2010 - 2026)
Healthstream (HSTM) posted Change in Accured Expenses of $2.01 million for Q2 2026, down 41.4% from $3.44 million a year earlier.
Healthstream (HSTM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Healthstream was $248,000, up 818.5% year-over-year; for FY2025, it was $1.42 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Healthstream's Change in Accured Expenses was -$5.03 million in FY2024, $4.83 million in FY2023 (+28.9%), $3.74 million in FY2022 and -$4.33 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$7.42 million in Q1 2024 to a high of $6.61 million in Q4 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with an average decline of 14.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2023, with growth of 98.6%; the weakest was Q3 2024, with a decline of 74.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$7.04 million (Q1 2026), $6.61 million (Q4 2025) and -$1.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Healthstream | 901.18 Mn | 618.35 Mn | 54.72 Mn | 2.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | -7.04 Mn |
| Dec 31, 2025 | 6.61 Mn |
| Sep 30, 2025 | -1.33 Mn |
| Jun 30, 2025 | 3.44 Mn |
| Mar 31, 2025 | -7.30 Mn |
| Dec 31, 2024 | 3.34 Mn |
| Sep 30, 2024 | 541,000.00 |
| Jun 30, 2024 | -1.50 Mn |
| Mar 31, 2024 | -7.42 Mn |
| Dec 31, 2023 | 5.56 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 1.94 Mn |
| Mar 31, 2023 | -4.77 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 3.59 Mn |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | -3.65 Mn |
| Dec 31, 2021 | -1.27 Mn |
| Sep 30, 2021 | 2.98 Mn |
Healthstream Change in Accured 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=change-in-accured-expenses&ticker=HSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();