Adaptive Biotechnologies (ADPT) Non Operating Interest Expenses (2022 - 2026)
Adaptive Biotechnologies' Non Operating Interest Expenses came in at $2.69 million for Q2 2026, down 8.6% from $2.95 million a year earlier and down 6.7% from the prior quarter.
Adaptive Biotechnologies (ADPT) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Adaptive Biotechnologies reported Non Operating Interest Expenses of $11.51 million, down 2.0% year-over-year; for FY2025, it came in at $11.78 million, up 1.7% from FY2024.
- Non Operating Interest Expenses carries a three-year compound annual growth rate of 40.6% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $11.58 million in FY2024 (-16.1%), $13.8 million in FY2023 (+225.6%) and $4.24 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q3 2022.
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 2.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2023 (growth of 459.3%), and the weakest in Q2 2024 (a decline of 25.2%).
- Business Quant data shows ADPT's Non Operating Interest Expenses at $2.89 million (Q1 2026), $2.95 million (Q4 2025) and $2.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 599.00 Mn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 890,000.00 |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | - |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 61.10 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 204.00 Mn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 1.35 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 113.39 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 36.88 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 150.26 Mn |
| 10 | Adaptive Biotechnologies | 3.82 Bn | 2.82 Bn | 51.39 Mn | 2.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.69 Mn |
| Mar 31, 2026 | 2.89 Mn |
| Dec 31, 2025 | 2.95 Mn |
| Sep 30, 2025 | 2.97 Mn |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | 2.91 Mn |
| Dec 31, 2024 | 2.95 Mn |
| Sep 30, 2024 | 2.94 Mn |
| Jun 30, 2024 | 2.70 Mn |
| Mar 31, 2024 | 2.99 Mn |
| Dec 31, 2023 | 3.01 Mn |
| Sep 30, 2023 | 3.65 Mn |
| Jun 30, 2023 | 3.61 Mn |
| Mar 31, 2023 | 3.53 Mn |
| Dec 31, 2022 | 3.59 Mn |
| Sep 30, 2022 | 653,000.00 |
Adaptive Biotechnologies Non Operating Interest 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=non-operating-interest-expenses&ticker=ADPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ADPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();