DLT Resolution Inc. (DLTI) Accumulated Expenses (2015 - 2023)
DLT Resolution's Accumulated Expenses was $112,804 in Q4 2023, up 11.0% from $101,659 a year earlier.
Analysis
DLT Resolution Inc. (DLTI) Accumulated Expenses (2015 - 2023) Analysis & Trends
From Q2 2015 onward, DLT Resolution has reported Accumulated Expenses for 15 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 33.2% (FY2018 to FY2023).
- In earlier years, Accumulated Expenses was $101,659 in FY2022, $47,067 in FY2020 (+13.2%) and $41,565 in FY2019 (+54.7%).
- The Q4 2023 figure marks the highest quarterly Accumulated Expenses in data going back to Q2 2015.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 112,804.00 |
| Dec 31, 2022 | 101,659.00 |
| Dec 31, 2020 | 47,067.00 |
| Dec 31, 2019 | 41,565.00 |
| Dec 31, 2018 | 26,875.00 |
| Sep 30, 2017 | 49.00 |
| Jun 30, 2017 | 15,847.00 |
| Mar 31, 2017 | 14,018.00 |
| Dec 31, 2016 | 10,299.00 |
| Sep 30, 2016 | 2,779.00 |
| Jun 30, 2016 | 35,211.00 |
| Mar 31, 2016 | 27,358.00 |
| Dec 31, 2015 | 360.00 |
| Sep 30, 2015 | 11,361.00 |
| Jun 30, 2015 | 3,546.00 |
API Access
DLT Resolution Inc. Accumulated 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=accumulated-expenses&ticker=DLTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DLTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=DLTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();