Data443 Risk Mitigation, Inc. (ATDS) Other Accumulated Expenses (2018 - 2026)
Data443 Risk Mitigation's Other Accumulated Expenses came in at $2.95 million for Q2 2026, up 37.8% from $2.14 million a year earlier.
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Analysis
Data443 Risk Mitigation, Inc. (ATDS) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Data443 Risk Mitigation's Other Accumulated Expenses was $2.59 million, up 23.6% from FY2024.
- Other Accumulated Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 110.8% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $2.1 million in FY2024 (+55.1%), $1.35 million in FY2023 (+182.5%), $478,712 in FY2022 (+133.6%) and $204,915 in FY2021 (+229.4%).
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2018.
- Year-over-year, Other Accumulated Expenses increased in six of the last seven quarters, with growth averaging 43.1%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q4 2021 (growth of 229.4%), and the weakest in Q3 2025 (a decline of 2.5%).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95 Mn |
| Dec 31, 2025 | 2.59 Mn |
| Sep 30, 2025 | 2.09 Mn |
| Jun 30, 2025 | 2.14 Mn |
| Mar 31, 2025 | 2.09 Mn |
| Dec 31, 2024 | 2.10 Mn |
| Sep 30, 2024 | 2.15 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 1.78 Mn |
| Dec 31, 2023 | 1.35 Mn |
| Sep 30, 2023 | 826,187.00 |
| Dec 31, 2022 | 478,712.00 |
| Jun 30, 2022 | 309,180.00 |
| Mar 31, 2022 | 239,565.00 |
| Dec 31, 2021 | 204,915.00 |
| Dec 31, 2020 | 62,212.00 |
| Sep 30, 2020 | 120,004.00 |
| Jun 30, 2020 | 119,039.00 |
| Mar 31, 2020 | 63,307.00 |
| Dec 31, 2019 | 484.00 |
API Access
Data443 Risk Mitigation, Inc. Other 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=other-accumulated-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ATDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();