Adaptive Biotechnologies (ADPT) Operating Expenses (2018 - 2026)
Adaptive Biotechnologies' Operating Expenses came in at $87.32 million for Q2 2026, up 4.1% from $83.92 million a year earlier but down 3.1% from the prior quarter.
Adaptive Biotechnologies (ADPT) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Adaptive Biotechnologies reported Operating Expenses of $345.54 million, up 5.9% year-over-year; for FY2025, it was $334.1 million, down 2.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $341.51 million in FY2024 (-14.0%), $397.31 million in FY2023 (+3.1%), $385.49 million in FY2022 (+6.1%) and $363.31 million in FY2021 (+44.6%).
- The five-year range for quarterly Operating Expenses is $79.07 million (Q3 2024) to $116.85 million (Q4 2023).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 4.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 51.2%), and the weakest in Q4 2024 (a decline of 30.4%).
- Business Quant data shows ADPT's Operating Expenses at $90.08 million (Q1 2026), $84.45 million (Q4 2025) and $83.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 102.50 Bn | 98.51 Bn | - | 17.74 Bn |
| 2 | Natera | 58.05 Bn | 53.74 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Labcorp Holdings | 26.39 Bn | 24.13 Bn | 1.11 Bn | 582.30 Mn |
| 4 | Quest Diagnostics | 26.28 Bn | 24.41 Bn | 1.03 Bn | 2.58 Bn |
| 5 | Tenet Healthcare | 22.71 Bn | 11.72 Bn | - | - |
| 6 | Guardant Health | 21.59 Bn | 17.65 Bn | 219.03 Mn | 464.10 Mn |
| 7 | BrightSpring Health Services | 12.87 Bn | 11.21 Bn | 492.75 Mn | 362.36 Mn |
| 8 | Fresenius Medical Care AG | 12.49 Bn | 4.44 Bn | 1.52 Bn | 901.58 Mn |
| 9 | Encompass Health | 12.04 Bn | 11.70 Bn | - | 1.31 Bn |
| 10 | Adaptive Biotechnologies | 3.91 Bn | 2.90 Bn | 51.39 Mn | 87.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.32 Mn |
| Mar 31, 2026 | 90.08 Mn |
| Dec 31, 2025 | 84.45 Mn |
| Sep 30, 2025 | 83.68 Mn |
| Jun 30, 2025 | 83.92 Mn |
| Mar 31, 2025 | 82.05 Mn |
| Dec 31, 2024 | 81.30 Mn |
| Sep 30, 2024 | 79.07 Mn |
| Jun 30, 2024 | 90.51 Mn |
| Mar 31, 2024 | 90.64 Mn |
| Dec 31, 2023 | 116.85 Mn |
| Sep 30, 2023 | 88.88 Mn |
| Jun 30, 2023 | 96.74 Mn |
| Mar 31, 2023 | 94.84 Mn |
| Dec 31, 2022 | 94.38 Mn |
| Sep 30, 2022 | 93.26 Mn |
| Jun 30, 2022 | 96.16 Mn |
| Mar 31, 2022 | 101.69 Mn |
| Dec 31, 2021 | 99.53 Mn |
| Sep 30, 2021 | 95.79 Mn |
Adaptive Biotechnologies 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=ADPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADPT", "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=ADPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();