Adaptive Biotechnologies (ADPT) Receivables (2018 - 2026)
Adaptive Biotechnologies (ADPT) posted Receivables of $49.51 million for Q2 2026, up 11.8% from $44.29 million a year earlier and up 2.5% from the prior quarter.
Adaptive Biotechnologies (ADPT) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2025, Adaptive Biotechnologies' Receivables came in at $50.37 million, up 20.7% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- In prior years, Adaptive Biotechnologies' Receivables was $41.73 million in FY2024 (+9.9%), $37.97 million in FY2023 (-5.2%), $40.06 million in FY2022 (+127.5%) and $17.61 million in FY2021 (+60.9%).
- Quarterly Receivables has run from a low of $17.12 million in Q3 2021 to a high of $50.37 million in Q4 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last ten quarters, with growth averaging 15.2% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2022, with growth of 127.5%; the weakest was Q4 2023, with a decline of 5.2%.
- According to Business Quant data, Receivables for the three prior quarters was $48.32 million (Q1 2026), $50.37 million (Q4 2025) and $44.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 12.28 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 421.97 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 1.67 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 2.50 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 2.91 Bn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 144.25 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | - |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 1.20 Bn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 3.03 Bn |
| 10 | Adaptive Biotechnologies | 3.82 Bn | 2.82 Bn | 51.39 Mn | 49.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.51 Mn |
| Mar 31, 2026 | 48.32 Mn |
| Dec 31, 2025 | 50.37 Mn |
| Sep 30, 2025 | 44.82 Mn |
| Jun 30, 2025 | 44.29 Mn |
| Mar 31, 2025 | 43.58 Mn |
| Dec 31, 2024 | 41.73 Mn |
| Sep 30, 2024 | 40.81 Mn |
| Jun 30, 2024 | 35.61 Mn |
| Mar 31, 2024 | 42.02 Mn |
| Dec 31, 2023 | 37.97 Mn |
| Sep 30, 2023 | 31.21 Mn |
| Jun 30, 2023 | 31.55 Mn |
| Mar 31, 2023 | 30.97 Mn |
| Dec 31, 2022 | 40.06 Mn |
| Sep 30, 2022 | 26.55 Mn |
| Jun 30, 2022 | 23.71 Mn |
| Mar 31, 2022 | 22.52 Mn |
| Dec 31, 2021 | 17.61 Mn |
| Sep 30, 2021 | 17.12 Mn |
Adaptive Biotechnologies Receivables 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=receivables&ticker=ADPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ADPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();