AIOS Tech (AIOS) Operating Leases (2019 - 2024)
AIOS Tech's Operating Leases came in at $818,128 for Q4 2024, down 50.2% from $1.64 million a year earlier.
Analysis
AIOS Tech (AIOS) Operating Leases (2019 - 2024) Analysis & Trends
Going back to Q4 2019, AIOS Tech's Operating Leases data covers 11 quarters.
- Operating Leases carries a five-year compound annual growth rate of 17.3% (FY2019 to FY2024).
- Going back by year, Operating Leases was $1.64 million in FY2023 (-32.3%), $2.43 million in FY2022, $148,988 in FY2021 (-78.1%) and $680,130 in FY2020 (+84.8%).
- The Q4 2024 figure represents the lowest quarterly Operating Leases since Q4 2021.
- The fastest year-over-year change in Operating Leases over five years came in Q2 2022 (growth of 778.8%), and the weakest in Q4 2021 (a decline of 78.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | AIOS Tech | 3.24 Mn | -44.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 818,128.00 |
| Jun 30, 2024 | 1.39 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Jun 30, 2023 | 1.88 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Jun 30, 2022 | 2.77 Mn |
| Dec 31, 2021 | 148,988.00 |
| Jun 30, 2021 | 315,628.00 |
| Dec 31, 2020 | 680,130.00 |
| Jun 30, 2020 | 826,319.00 |
| Dec 31, 2019 | 368,019.00 |
API Access
AIOS Tech Operating Leases 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-leases&ticker=AIOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AIOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();