Aditxt, Inc. (ADTX) Operating Expenses (2019 - 2026)
Aditxt's Operating Expenses came in at $4.36 million for Q1 2026, down 22.2% from $5.61 million a year earlier and down 6.5% from the prior quarter.
Aditxt, Inc. (ADTX) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Aditxt reported Operating Expenses of $18.33 million, down 14.5% year-over-year; for FY2025, it was $19.57 million, down 28.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $27.37 million in FY2024 (+5.5%), $25.95 million in FY2023 (+1.2%), $25.65 million in FY2022 (-38.9%) and $41.96 million in FY2021 (+373.0%).
- The five-year range for quarterly Operating Expenses is $3.14 million (Q3 2025) to $24.02 million (Q4 2021).
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with an average decline of 18.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 414.1%), and the weakest in Q4 2022 (a decline of 65.8%).
- Business Quant data shows ADTX's Operating Expenses at $4.67 million (Q4 2025), $3.14 million (Q3 2025) and $6.15 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.36 Mn |
| Dec 31, 2025 | 4.67 Mn |
| Sep 30, 2025 | 3.14 Mn |
| Jun 30, 2025 | 6.15 Mn |
| Mar 31, 2025 | 5.61 Mn |
| Dec 31, 2024 | 5.58 Mn |
| Sep 30, 2024 | 4.24 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 11.55 Mn |
| Dec 31, 2023 | 7.75 Mn |
| Sep 30, 2023 | 8.11 Mn |
| Jun 30, 2023 | 4.27 Mn |
| Mar 31, 2023 | 5.82 Mn |
| Dec 31, 2022 | 8.22 Mn |
| Sep 30, 2022 | 5.48 Mn |
| Jun 30, 2022 | 5.81 Mn |
| Mar 31, 2022 | 6.14 Mn |
| Dec 31, 2021 | 24.02 Mn |
| Sep 30, 2021 | 6.07 Mn |
| Jun 30, 2021 | 5.78 Mn |
Aditxt, Inc. Operating 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=operating-expenses&ticker=ADTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ADTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();