DLT Resolution Inc. (DLTI) Change in Accured Expenses (2010 - 2024)
DLT Resolution (DLTI) reported Change in Accured Expenses of $165,288 for Q2 2024, up 49.9% from $110,263 a year earlier and up 270.3% from the prior quarter.
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Analysis
DLT Resolution Inc. (DLTI) Change in Accured Expenses (2010 - 2024) Analysis & Trends
Over the twelve months ended Jun 30, 2024, DLT Resolution's Change in Accured Expenses came in at $232,573; for FY2023, it was -$35,359.
- By year, Change in Accured Expenses came in at $31,154 in FY2022 (+20.5%), $25,857 in FY2021 (-81.3%), $138,165 in FY2020 (+185.3%) and $48,429 in FY2019 (+231.8%).
- The Q2 2024 figure ranks as the highest quarterly Change in Accured Expenses in data going back to Q4 2010.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2023 (growth of 631.7%); the low point was Q2 2021 (a decline of 87.2%).
- Per Business Quant data, the three quarters before Q2 2024 came in at $44,631 (Q1 2024), -$42,549 (Q4 2023) and $65,203 (Q3 2023).
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 165,288.00 |
| Mar 31, 2024 | 44,631.00 |
| Dec 31, 2023 | -42,549.00 |
| Sep 30, 2023 | 65,203.00 |
| Jun 20, 2023 | 110,263.00 |
| Mar 31, 2023 | -168,276.00 |
| Dec 31, 2022 | 12,974.00 |
| Sep 30, 2022 | 8,911.00 |
| Jun 30, 2022 | 1,868.00 |
| Mar 31, 2022 | 7,401.00 |
| Dec 31, 2021 | -3,678.00 |
| Sep 30, 2021 | 8,275.00 |
| Jun 30, 2021 | 6,333.00 |
| Mar 31, 2021 | 14,927.00 |
| Dec 31, 2020 | 44,902.00 |
| Sep 30, 2020 | 22,967.00 |
| Jun 30, 2020 | 49,598.00 |
| Mar 31, 2020 | 20,698.00 |
| Dec 31, 2019 | 22,033.00 |
| Sep 30, 2019 | 11,925.00 |
API Access
DLT Resolution Inc. Change in Accured 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=change-in-accured-expenses&ticker=DLTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DLTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();