DLT Resolution Inc. (DLTI) Operating Expenses (2011 - 2024)
DLT Resolution's Operating Expenses came in at $375,344 for Q2 2024, up 67.6% from the prior quarter.
DLT Resolution Inc. (DLTI) Operating Expenses (2011 - 2024) Analysis & Trends
Over the trailing twelve months to Jun 30, 2024, DLT Resolution reported Operating Expenses of $638,227; for FY2023, it was $129,511, down 30.6% from FY2022.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -18.1% (FY2018 to FY2023).
- Going back by year, Operating Expenses was $186,578 in FY2022 (-58.5%), $450,015 in FY2021 (-40.6%), $758,014 in FY2020 (+38.7%) and $546,542 in FY2019 (+55.4%).
- The Q2 2024 figure represents the highest quarterly Operating Expenses since Q3 2020.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2020 (growth of 537.7%), and the weakest in Q3 2021 (a decline of 91.3%).
- Business Quant data shows DLTI's Operating Expenses at $223,908 (Q1 2024), -$10,836 (Q4 2023) and $49,811 (Q3 2023) in the three quarters before Q2 2024.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 375,344.00 |
| Mar 31, 2024 | 223,908.00 |
| Dec 31, 2023 | -10,836.00 |
| Sep 30, 2023 | 49,811.00 |
| Dec 31, 2022 | -149,241.00 |
| Sep 30, 2022 | 74,087.00 |
| Jun 30, 2022 | 153,223.00 |
| Mar 31, 2022 | 108,509.00 |
| Dec 31, 2021 | 197,086.00 |
| Sep 30, 2021 | 51,959.00 |
| Jun 30, 2021 | 97,904.00 |
| Mar 31, 2021 | 103,066.00 |
| Dec 31, 2020 | -1.20 Mn |
| Sep 30, 2020 | 599,193.00 |
| Jun 30, 2020 | 614,804.00 |
| Mar 31, 2020 | 749,825.00 |
| Dec 31, 2019 | 40,192.00 |
| Sep 30, 2019 | 198,295.00 |
| Jun 30, 2019 | 350,976.00 |
| Mar 31, 2019 | 117,580.00 |
DLT Resolution 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=DLTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DLTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();