eHealth (EHTH) Operating Expenses (2010 - 2026)
eHealth's Operating Expenses came in at $61.02 million for Q2 2026, down 27.2% from $83.83 million a year earlier and down 32.9% from the prior quarter.
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Analysis
eHealth (EHTH) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, eHealth reported Operating Expenses of $447.29 million, down 9.9% year-over-year; for FY2025, it was $487.52 million, down 4.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $508.84 million in FY2024 (+5.6%), $481.95 million in FY2023 (-5.1%), $508.07 million in FY2022 (-23.5%) and $663.84 million in FY2021 (+25.4%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2018.
- Year-over-year, Operating Expenses has declined for six consecutive quarters, with an average decline of 7.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 29.6%), and the weakest in Q4 2022 (a decline of 40.3%).
- Business Quant data shows EHTH's Operating Expenses at $90.9 million (Q1 2026), $199.98 million (Q4 2025) and $95.39 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 | HCA Healthcare | 94.08 Bn | 93.52 Bn | - | 17.74 Bn |
| 2 | Natera | 59.53 Bn | 55.21 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 25.60 Bn | 24.03 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 24.98 Bn | 22.75 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.75 Bn | 19.81 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.75 Bn | 11.90 Bn | - | - |
| 7 | Tempus AI | 14.47 Bn | 11.50 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.19 Bn | 12.65 Bn | - | 1.31 Bn |
| 9 | Davita | 11.20 Bn | 9.97 Bn | 1.16 Bn | 2.98 Bn |
| 10 | eHealth | 23.06 Mn | -341.32 Mn | - | 61.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.02 Mn |
| Mar 31, 2026 | 90.90 Mn |
| Dec 31, 2025 | 199.98 Mn |
| Sep 30, 2025 | 95.39 Mn |
| Jun 30, 2025 | 83.83 Mn |
| Mar 31, 2025 | 108.32 Mn |
| Dec 31, 2024 | 202.54 Mn |
| Sep 30, 2024 | 101.61 Mn |
| Jun 30, 2024 | 93.82 Mn |
| Mar 31, 2024 | 110.88 Mn |
| Dec 31, 2023 | 188.29 Mn |
| Sep 30, 2023 | 104.11 Mn |
| Jun 30, 2023 | 92.92 Mn |
| Mar 31, 2023 | 96.62 Mn |
| Dec 31, 2022 | 165.58 Mn |
| Sep 30, 2022 | 101.65 Mn |
| Jun 30, 2022 | 95.88 Mn |
| Mar 31, 2022 | 144.96 Mn |
| Dec 31, 2021 | 277.15 Mn |
| Sep 30, 2021 | 129.95 Mn |
API Access
eHealth 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=EHTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EHTH", "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=EHTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();