Natera (NTRA) Operating Expenses (2014 - 2026)
Natera (NTRA) posted Operating Expenses of $828.54 million for Q2 2026, up 26.1% from $656.97 million a year earlier and up 4.9% from the prior quarter.
Natera (NTRA) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Natera was $3 billion, up 32.7% year-over-year; for FY2025, it came in at $2.62 billion, up 36.3% from FY2024.
- Annual Operating Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- In prior years, Natera's Operating Expenses was $1.92 billion in FY2024 (+25.5%), $1.53 billion in FY2023 (+12.3%), $1.36 billion in FY2022 (+24.5%) and $1.09 billion in FY2021 (+80.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2014.
- On a year-over-year basis, Operating Expenses has increased in each of the last 30 quarters, with growth averaging 33.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 6.9% (Q3 2022) to 100.3% (Q3 2021).
- According to Business Quant data, Operating Expenses for the three prior quarters was $790.16 million (Q1 2026), $688.28 million (Q4 2025) and $689.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.24 Bn | 99.25 Bn | - | 17.74 Bn |
| 2 | Natera | 56.90 Bn | 52.58 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.02 Bn | 24.15 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 26.02 Bn | 23.77 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Tenet Healthcare | 22.79 Bn | 11.79 Bn | - | - |
| 6 | Guardant Health | 21.62 Bn | 17.68 Bn | 219.03 Mn | 464.10 Mn |
| 7 | BrightSpring Health Services | 12.96 Bn | 11.30 Bn | 492.75 Mn | 362.36 Mn |
| 8 | Fresenius Medical Care AG | 12.45 Bn | 4.41 Bn | 1.52 Bn | 901.58 Mn |
| 9 | Encompass Health | 12.43 Bn | 12.09 Bn | - | 1.31 Bn |
| 10 | Tempus AI | 12.38 Bn | 9.41 Bn | 246.50 Mn | 458.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 828.54 Mn |
| Mar 31, 2026 | 790.16 Mn |
| Dec 31, 2025 | 688.28 Mn |
| Sep 30, 2025 | 689.76 Mn |
| Jun 30, 2025 | 656.97 Mn |
| Mar 31, 2025 | 581.01 Mn |
| Dec 31, 2024 | 540.80 Mn |
| Sep 30, 2024 | 479.10 Mn |
| Jun 30, 2024 | 457.25 Mn |
| Mar 31, 2024 | 442.06 Mn |
| Dec 31, 2023 | 395.64 Mn |
| Sep 30, 2023 | 379.29 Mn |
| Jun 30, 2023 | 373.83 Mn |
| Mar 31, 2023 | 380.06 Mn |
| Dec 31, 2022 | 359.03 Mn |
| Sep 30, 2022 | 329.69 Mn |
| Jun 30, 2022 | 341.29 Mn |
| Mar 31, 2022 | 331.26 Mn |
| Dec 31, 2021 | 312.69 Mn |
| Sep 30, 2021 | 308.31 Mn |
Natera 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=NTRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NTRA", "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=NTRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();