Aditxt (ADTX) Amortization - Intangibles (2020 - 2026)
Analysis
Aditxt (ADTX) Amortization - Intangibles (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -24.69 Bn |
| Dec 31, 2025 | -60,000.00 |
| Sep 30, 2025 | -234.17 Bn |
| Jun 30, 2025 | -1.21 Mn |
| Mar 31, 2025 | -200.28 Bn |
| Dec 31, 2024 | -272,965.00 |
| Sep 30, 2024 | -1.71 Mn |
| Jun 30, 2024 | -556,708.00 |
| Mar 31, 2024 | -635,710.00 |
| Dec 31, 2023 | -1.27 Mn |
| Sep 30, 2023 | -744,956.00 |
| Jun 30, 2023 | -162.89 Bn |
| Mar 31, 2023 | -13.39 Bn |
| Sep 30, 2022 | -1.53 Mn |
| Jun 30, 2022 | -2.95 Bn |
| Sep 30, 2021 | -1.19 Mn |
| Jun 30, 2021 | -384,023.00 |
| Mar 31, 2021 | -270.08 Bn |
| Jun 30, 2020 | -135.39 Bn |
| Mar 31, 2020 | -164.61 Bn |
API Access
Aditxt Amortization - Intangibles 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=amortization-intangibles&ticker=ADTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "ADTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=ADTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();