ATIF Holdings (AUC) Price to Book (2019 - 2026)
ATIF Holdings' Price to Book came in at 2.89 for fiscal Q2 2026 (quarter ended Jan 31, 2026), down 90.8% from 31.53 a year earlier.
Analysis
ATIF Holdings (AUC) Price to Book (2019 - 2026) Analysis & Trends
For FY2025 (ended Jul 31, 2025), ATIF Holdings' Price to Book was 7.79, down 91.8% from FY2024.
- Going back by fiscal year, Price to Book was 95.14 in FY2024 (-45.5%), 174.49 in FY2023 (+131.3%), 75.45 in FY2022 (+477.1%) and 13.07 in FY2021 (-67.6%).
- The fiscal Q2 2026 figure represents the lowest quarterly Price to Book in data going back to fiscal Q4 2019.
- The fastest year-over-year change in Price to Book over five years came in fiscal Q4 2022 (growth of 477.1%), and the weakest in fiscal Q2 2026 (a decline of 90.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn |
| 10 | ATIF Holdings | 147.28 Mn | 120.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 2.89 |
| Jul 31, 2025 | 11.33 |
| Apr 30, 2025 | 32.25 |
| Jan 31, 2025 | 31.53 |
| Oct 31, 2024 | 37.34 |
| Jul 31, 2024 | 95.14 |
| Apr 30, 2024 | 51.29 |
| Jan 31, 2024 | 295.15 |
| Oct 31, 2023 | 210.48 |
| Jul 31, 2023 | 174.49 |
| Apr 30, 2023 | 59.40 |
| Jan 31, 2023 | 86.65 |
| Oct 31, 2022 | 55.50 |
| Jul 31, 2022 | 75.45 |
| Apr 30, 2022 | 79.19 |
| Jan 31, 2022 | 93.15 |
| Oct 31, 2021 | 78.56 |
| Jul 31, 2021 | 13.07 |
| Jul 31, 2020 | 40.34 |
| Apr 22, 2020 | 150.56 |
API Access
ATIF Holdings 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=AUC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AUC", "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=AUC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();