AIOS Tech (AIOS) Accumulated Expenses (2015 - 2025)
AIOS Tech (AIOS) recorded Accumulated Expenses of $22.73 million in Q4 2025, up 675.5% from $2.93 million a year earlier.
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Analysis
AIOS Tech (AIOS) Accumulated Expenses (2015 - 2025) Analysis & Trends
Starting with Q4 2015, AIOS Tech's Accumulated Expenses history includes 20 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 62.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $2.93 million in FY2024 (-59.5%), $7.25 million in FY2023 (+19.0%), $6.09 million in FY2022 (+70.3%) and $3.58 million in FY2021 (+78.7%).
- The Q4 2025 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2015.
- On a year-over-year basis, Accumulated Expenses rose in two of the last four quarters, with growth averaging 140.4%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 675.5% in Q4 2025, against a decline of 70.7% in Q2 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | AIOS Tech | 2.03 Mn | -23.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 17,130.00 |
| Jun 30, 2025 | 3.43 Mn |
| Dec 31, 2024 | 354,586.00 |
| Jun 30, 2024 | 2.95 Mn |
| Dec 31, 2023 | 364,498.00 |
| Jun 30, 2023 | 10.05 Mn |
| Dec 31, 2022 | 6.09 Mn |
| Jun 30, 2022 | 13.21 Mn |
| Dec 31, 2021 | 3.58 Mn |
| Jun 30, 2021 | 1.62 Mn |
| Dec 31, 2020 | 2.00 Mn |
| Jun 30, 2020 | 2.99 Mn |
| Dec 31, 2019 | 674,169.00 |
| Jun 30, 2019 | 2.47 Mn |
| Dec 31, 2018 | 2.11 Mn |
| Jun 30, 2018 | 1.61 Mn |
| Dec 31, 2017 | 1.33 Mn |
| Jun 30, 2017 | 886,930.00 |
| Dec 31, 2016 | 1.01 Mn |
| Dec 31, 2015 | 688,972.00 |
API Access
AIOS Tech 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=AIOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AIOS", "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=AIOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();