Adaptive Biotechnologies (ADPT) Change in Accured Expenses (2018 - 2026)
Adaptive Biotechnologies (ADPT) posted Change in Accured Expenses of $1.01 million for Q2 2026, down 69.1% from $3.27 million a year earlier.
Adaptive Biotechnologies (ADPT) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Adaptive Biotechnologies was $559,000; for FY2025, it was $665,000, down 0.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -38.4% (FY2020 to FY2025).
- In prior years, Adaptive Biotechnologies' Change in Accured Expenses was $671,000 in FY2024, -$5.41 million in FY2023, $7.11 million in FY2022 (+80.5%) and $3.94 million in FY2021 (-47.4%).
- Quarterly Change in Accured Expenses has run from a low of -$15.88 million in Q1 2023 to a high of $10.53 million in Q4 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 135.3%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2025, with growth of 703.2%; the weakest was Q2 2024, with a decline of 94.9%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$7.51 million (Q1 2026), $1.17 million (Q4 2025) and $5.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 551.00 Mn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | -39.33 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 142.00 Mn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | -24.00 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | -493.00 Mn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 44.29 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | -17.82 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 16.92 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | -19.98 Mn |
| 10 | Adaptive Biotechnologies | 3.82 Bn | 2.82 Bn | 51.39 Mn | 1.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Mn |
| Mar 31, 2026 | -7.51 Mn |
| Dec 31, 2025 | 1.17 Mn |
| Sep 30, 2025 | 5.90 Mn |
| Jun 30, 2025 | 3.27 Mn |
| Mar 31, 2025 | -9.67 Mn |
| Dec 31, 2024 | 4.26 Mn |
| Sep 30, 2024 | -59,000.00 |
| Jun 30, 2024 | 407,000.00 |
| Mar 31, 2024 | -3.94 Mn |
| Dec 31, 2023 | 5.34 Mn |
| Sep 30, 2023 | -2.81 Mn |
| Jun 30, 2023 | 7.94 Mn |
| Mar 31, 2023 | -15.88 Mn |
| Dec 31, 2022 | 10.53 Mn |
| Sep 30, 2022 | 5.54 Mn |
| Jun 30, 2022 | -1.41 Mn |
| Mar 31, 2022 | -7.55 Mn |
| Dec 31, 2021 | -1.58 Mn |
| Sep 30, 2021 | 7.99 Mn |
Adaptive Biotechnologies Change in Accured 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=change-in-accured-expenses&ticker=ADPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ADPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();