AIOS Tech (AIOS) Price to Book (2016 - 2026)
AIOS Tech's Price to Book came in at 0.10 for Q2 2026, down 16.3% from 0.12 a year earlier.
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Analysis
AIOS Tech (AIOS) Price to Book (2016 - 2026) Analysis & Trends
For FY2024, AIOS Tech's Price to Book was 0.15, up 89.7% from FY2023.
- Going back by year, Price to Book was 0.08 in FY2023 (-34.2%), 0.12 in FY2022 (-67.8%), 0.37 in FY2021 (-92.0%) and 4.68 in FY2020 (+145.9%).
- The Q2 2026 figure represents the lowest quarterly Price to Book since Q2 2024.
- The fastest year-over-year change in Price to Book over five years came in Q4 2024 (growth of 89.7%), and the weakest in Q2 2022 (a decline of 97.1%).
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 |
|---|---|
| Jun 30, 2026 | 0.10 |
| Dec 31, 2025 | 1.14 |
| Jun 30, 2025 | 0.12 |
| Dec 31, 2024 | 0.15 |
| Jun 30, 2024 | 0.07 |
| Dec 31, 2023 | 0.08 |
| Jun 30, 2023 | 0.08 |
| Dec 31, 2022 | 0.12 |
| Jun 30, 2022 | 0.07 |
| Dec 31, 2021 | 0.37 |
| Jun 30, 2021 | 2.42 |
| Dec 31, 2020 | 4.68 |
| Jun 30, 2020 | 4.94 |
| Dec 31, 2019 | 1.90 |
| Jun 30, 2019 | 0.74 |
| Dec 31, 2018 | 0.36 |
| Jun 30, 2018 | 0.70 |
| Dec 31, 2017 | 0.95 |
| Jun 30, 2017 | 1.24 |
| Dec 31, 2016 | 2.34 |
API Access
AIOS Tech Price to Book 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=price-to-book&ticker=AIOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AIOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();