Adaptive Biotechnologies (ADPT) Cost of Revenue (2018 - 2026)
Adaptive Biotechnologies' Cost of Revenue was $20.17 million in Q2 2026, up 12.0% from $18 million a year earlier and up 7.8% from the prior quarter.
Adaptive Biotechnologies (ADPT) Cost of Revenue (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Adaptive Biotechnologies' Cost of Revenue was $75.25 million through Jun 30, 2026, up 8.0% year-over-year; for FY2025, it came in at $71.36 million, down 1.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $72.08 million in FY2024 (-4.6%), $75.55 million in FY2023 (+30.5%), $57.91 million in FY2022 (+17.5%) and $49.3 million in FY2021 (+118.8%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2018.
- Compared with a year earlier, Cost of Revenue has increased for four straight quarters, with an average decline of 0.3% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 134.4%); the worst was Q3 2024 (a decline of 13.8%).
- Per Business Quant data, ADPT's Cost of Revenue in the three quarters before Q2 2026 was $18.71 million (Q1 2026), $18.22 million (Q4 2025) and $18.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | - |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 267.56 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 2.02 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 2.62 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | - |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 115.95 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 4.13 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 271.40 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 2.39 Bn |
| 10 | Adaptive Biotechnologies | 3.82 Bn | 2.82 Bn | 51.39 Mn | 20.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.17 Mn |
| Mar 31, 2026 | 18.71 Mn |
| Dec 31, 2025 | 18.22 Mn |
| Sep 30, 2025 | 18.16 Mn |
| Jun 30, 2025 | 18.00 Mn |
| Mar 31, 2025 | 16.98 Mn |
| Dec 31, 2024 | 18.05 Mn |
| Sep 30, 2024 | 16.67 Mn |
| Jun 30, 2024 | 19.32 Mn |
| Mar 31, 2024 | 18.05 Mn |
| Dec 31, 2023 | 19.62 Mn |
| Sep 30, 2023 | 19.35 Mn |
| Jun 30, 2023 | 17.91 Mn |
| Mar 31, 2023 | 18.68 Mn |
| Dec 31, 2022 | 16.59 Mn |
| Sep 30, 2022 | 14.91 Mn |
| Jun 30, 2022 | 13.22 Mn |
| Mar 31, 2022 | 13.19 Mn |
| Dec 31, 2021 | 14.36 Mn |
| Sep 30, 2021 | 14.19 Mn |
Adaptive Biotechnologies Cost of 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=cost-of-revenue&ticker=ADPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=ADPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();