Graf Global (TONT) Price to Earnings (2024 - 2026)
Graf Global's (TONT) Price to Earnings came in at 48.67 for Q2 2026, up 31.1% from 37.13 a year earlier and up 25.7% from the prior quarter.
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Analysis
Graf Global (TONT) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2025, Graf Global's Price to Earnings stood at 38.57, down 30.4% from FY2024.
- In prior years, Graf Global's Price to Earnings was 55.43 in FY2024.
- The Q2 2026 figure stands as the highest quarterly Price to Earnings since Q4 2024.
- On a year-over-year basis, Price to Earnings increased in 1 of the last four quarters, with an average decline of 16.9%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 38.73 (Q1 2026), 38.57 (Q4 2025) and 34.96 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn |
| 10 | Graf Global | 251.83 Mn | 251.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.67 |
| Mar 31, 2026 | 38.73 |
| Dec 31, 2025 | 38.57 |
| Sep 30, 2025 | 34.96 |
| Jun 30, 2025 | 37.13 |
| Mar 31, 2025 | 39.56 |
| Dec 31, 2024 | 55.43 |
| Sep 30, 2024 | 103.60 |
API Access
Graf Global Price to Earnings 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-earnings&ticker=TONT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "TONT", "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-earnings&ticker=TONT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();