Health Catalyst (HCAT) Operating Expenses (2018 - 2026)
Health Catalyst (HCAT) recorded Operating Expenses of $71.34 million in Q2 2026, down 5.3% from $75.34 million a year earlier and down 49.7% from the prior quarter.
Health Catalyst (HCAT) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Health Catalyst's Operating Expenses came in at $394.07 million as of Jun 30, 2026, up 70.1% year-over-year; for FY2025, it was $312.53 million, up 48.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $210.59 million in FY2024 (-18.6%), $258.73 million in FY2023 (-5.3%), $273.19 million in FY2022 (+4.6%) and $261.22 million in FY2021 (+39.8%).
- Quarterly Operating Expenses has ranged from $47.73 million in Q3 2024 to $141.94 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 38.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 151.6% in Q1 2026, against a decline of 27.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $141.94 million (Q1 2026), $125.46 million (Q4 2025) and $55.33 million (Q3 2025).
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 | Health Catalyst | 132.23 Mn | -267.31 Mn | 34.86 Mn | 71.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.34 Mn |
| Mar 31, 2026 | 141.94 Mn |
| Dec 31, 2025 | 125.46 Mn |
| Sep 30, 2025 | 55.33 Mn |
| Jun 30, 2025 | 75.34 Mn |
| Mar 31, 2025 | 56.41 Mn |
| Dec 31, 2024 | 52.19 Mn |
| Sep 30, 2024 | 47.73 Mn |
| Jun 30, 2024 | 51.65 Mn |
| Mar 31, 2024 | 59.02 Mn |
| Dec 31, 2023 | 63.29 Mn |
| Sep 30, 2023 | 56.57 Mn |
| Jun 30, 2023 | 68.39 Mn |
| Mar 31, 2023 | 70.48 Mn |
| Dec 31, 2022 | 67.80 Mn |
| Sep 30, 2022 | 77.74 Mn |
| Jun 30, 2022 | 69.22 Mn |
| Mar 31, 2022 | 58.44 Mn |
| Dec 31, 2021 | 75.60 Mn |
| Sep 30, 2021 | 70.90 Mn |
Health Catalyst 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=HCAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HCAT", "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=HCAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();