Adaptive Biotechnologies (ADPT) Revenue (2018 - 2026)
Adaptive Biotechnologies (ADPT) reported Revenue of $71.55 million for Q2 2026, up 21.5% from $58.88 million a year earlier and up 1.0% from the prior quarter.
Adaptive Biotechnologies (ADPT) Revenue (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Adaptive Biotechnologies' Revenue came in at $308.08 million, up 50.1% year-over-year; for FY2025, it came in at $276.98 million, up 54.8% from FY2024.
- Revenue has a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- By year, Revenue came in at $178.96 million in FY2024 (+5.1%), $170.28 million in FY2023 (-8.1%), $185.31 million in FY2022 (+20.1%) and $154.34 million in FY2021 (+56.9%).
- Five-year quarterly Revenue spans a low of $37.65 million in Q1 2023 and a high of $93.97 million in Q3 2025.
- Year over year, Revenue has now increased in each of the last eight quarters, with growth averaging 37.2% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2025 (growth of 102.4%); the low point was Q3 2023 (a decline of 20.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $70.87 million (Q1 2026), $71.68 million (Q4 2025) and $93.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 20.23 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 752.75 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 3.04 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 3.73 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 5.63 Bn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 334.98 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 5.65 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 3.87 Bn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 3.55 Bn |
| 10 | Adaptive Biotechnologies | 3.82 Bn | 2.82 Bn | 51.39 Mn | 71.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.55 Mn |
| Mar 31, 2026 | 70.87 Mn |
| Dec 31, 2025 | 71.68 Mn |
| Sep 30, 2025 | 93.97 Mn |
| Jun 30, 2025 | 58.88 Mn |
| Mar 31, 2025 | 52.44 Mn |
| Dec 31, 2024 | 47.46 Mn |
| Sep 30, 2024 | 46.44 Mn |
| Jun 30, 2024 | 43.19 Mn |
| Mar 31, 2024 | 41.87 Mn |
| Dec 31, 2023 | 45.78 Mn |
| Sep 30, 2023 | 37.92 Mn |
| Jun 30, 2023 | 48.93 Mn |
| Mar 31, 2023 | 37.65 Mn |
| Dec 31, 2022 | 55.20 Mn |
| Sep 30, 2022 | 47.83 Mn |
| Jun 30, 2022 | 43.66 Mn |
| Mar 31, 2022 | 38.62 Mn |
| Dec 31, 2021 | 37.93 Mn |
| Sep 30, 2021 | 39.47 Mn |
Adaptive Biotechnologies Revenue 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=revenue&ticker=ADPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ADPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();