ADAPTIVE BIOTECHNOLOGIES CORP

NASDAQ: ADPT (Adaptive Biotechnologies Corpor)

Last update: 5 hours ago

12.85

0.44 (3.55%)

Previous Close 12.41
Open 12.41
Volume 1,807,072
Avg. Volume (3M) 2,000,921
Market Cap 1,978,663,168
Price / Sales 7.44
Price / Book 9.56
52 Weeks Range
6.68 (-48%) — 20.76 (61%)
Earnings Date 30 Apr 2026
Profit Margin -74.84%
Operating Margin (TTM) -56.45%
Diluted EPS (TTM) -0.950
Quarterly Revenue Growth (YOY) 25.20%
Total Debt/Equity (MRQ) 115.90%
Current Ratio (MRQ) 2.92
Operating Cash Flow (TTM) -85.34 M
Levered Free Cash Flow (TTM) -21.40 M
Return on Assets (TTM) -15.05%
Return on Equity (TTM) -61.03%

Market Trend

Short Term Medium Term
Industry Biotechnology (US) Bullish Mixed
Biotechnology (Global) Bullish Mixed
Stock Adaptive Biotechnologies Corpor Bullish Bullish

AIStockmoo Score

-1.1
Analyst Consensus 3.0
Insider Activity -3.5
Price Volatility -2.0
Technical Moving Averages -2.5
Technical Oscillators -0.5
Average -1.10

Similar Stocks

Stock Market Cap DY P/E (TTM) P/B
ADPT 2 B - - 9.56
ERAS 5 B - - 13.95
DFTX 2 B - - 5.53
GLTO 2 B - - 268.22
MNMD 1 B - - 5.42
GLUE 1 B - - 5.37

Adaptive Biotechnologies Corp is a company advancing the field of immune-driven medicine by harnessing the inherent biology of the adaptive immune system to transform the diagnosis and treatment of disease. Its clinical diagnostic product, clonoSEQ, is test authorized by the FDA for the detection and monitoring of minimal residual disease (MRD) in patients with multiple myeloma (MM), B cell acute lymphoblastic leukemia (ALL) and chronic lymphocytic leukemia (CLL) and is also available as a CLIA-validated laboratory developed test (LDT) for patients with other lymphoid cancers, including diffuse large B-cell lymphoma (DLBCL).

Sector Healthcare
Industry Biotechnology
Investment Style Small Value
% Held by Insiders 2.35%
% Held by Institutions 98.36%

Ownership

Name Date Shares Held
Viking Global Investors Lp 31 Dec 2025 29,993,708
Price T Rowe Associates Inc /Md/ 31 Dec 2025 4,387,361
Westfield Capital Management Co Lp 31 Dec 2025 4,060,481
Lord, Abbett & Co. Llc 31 Dec 2025 3,080,759
Jennison Associates Llc 31 Dec 2025 2,674,668
52 Weeks Range
6.68 (-48%) — 20.76 (61%)
Price Target Range
21.00 (63%) — 22.00 (71%)
High 22.00 (BTIG, 71.21%) Buy
Median 21.00 (63.42%)
Low 21.00 (Guggenheim, 63.42%) Buy
21.00 (JP Morgan, 63.42%) Buy
Average 21.33 (65.99%)
Total 3 Buy
Avg. Price @ Call 16.89
Firm Date Target Price Call Price @ Call
BTIG 06 Feb 2026 22.00 (71.21%) Buy 15.77
JP Morgan 06 Feb 2026 21.00 (63.42%) Buy 15.77
Guggenheim 26 Jan 2026 21.00 (63.42%) Buy 19.12
Name Avg. Buy ($) Avg. Sell ($) Net Quantity Net Value ($)
RUBINSTEIN JULIE - 13.68 -152,480 -2,085,545
Aggregate Net Quantity -152,480
Aggregate Net Value ($) -2,085,545
Aggregate Avg. Buy ($) -
Aggregate Avg. Sell ($) 13.68
Name Holder Date Type Quantity Price Value ($)
RUBINSTEIN JULIE Officer 26 Mar 2026 Automatic sell (-) 19,060 13.96 266,078
RUBINSTEIN JULIE Officer 26 Mar 2026 Option execute 14,722 - -
RUBINSTEIN JULIE Officer 25 Mar 2026 Automatic sell (-) 19,060 14.15 269,699
RUBINSTEIN JULIE Officer 25 Mar 2026 Option execute 14,722 - -
RUBINSTEIN JULIE Officer 24 Mar 2026 Automatic sell (-) 19,060 13.90 264,934
RUBINSTEIN JULIE Officer 24 Mar 2026 Option execute 14,722 - -
RUBINSTEIN JULIE Officer 23 Mar 2026 Automatic sell (-) 19,060 13.66 260,360
RUBINSTEIN JULIE Officer 23 Mar 2026 Option execute 14,722 - -
RUBINSTEIN JULIE Officer 20 Mar 2026 Automatic sell (-) 19,060 13.58 258,835
RUBINSTEIN JULIE Officer 20 Mar 2026 Option execute 14,722 - -
RUBINSTEIN JULIE Officer 19 Mar 2026 Automatic sell (-) 19,060 13.50 257,310
RUBINSTEIN JULIE Officer 19 Mar 2026 Option execute 14,722 - -
RUBINSTEIN JULIE Officer 18 Mar 2026 Automatic sell (-) 19,060 13.28 253,117
RUBINSTEIN JULIE Officer 18 Mar 2026 Option execute 14,722 - -
RUBINSTEIN JULIE Officer 17 Mar 2026 Automatic sell (-) 19,060 13.39 255,213
RUBINSTEIN JULIE Officer 17 Mar 2026 Option execute 14,722 - -
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The support, resistance and trendline levels presented has been generated by an artificial intelligence (AI) model and should be interpreted with caution.

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