Graf Global (TONT) Operating Expenses (2023 - 2026)
Graf Global's Operating Expenses was $1.94 million in Q2 2026, up 904.2% from $193,321 a year earlier.
Graf Global (TONT) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graf Global's Operating Expenses was $3.33 million through Jun 30, 2026, up 278.4% year-over-year; for FY2025, it came in at $1.83 million, up 243.5% from FY2024.
- In earlier years, Operating Expenses was $531,279 in FY2024 and $3,151 in FY2023.
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q4 2023.
- Compared with a year earlier, Operating Expenses was higher in five of the last six quarters, with growth averaging 324.0%.
- Per Business Quant data, TONT's Operating Expenses in the three quarters before Q2 2026 was $31,045 (Q1 2026), $560,484 (Q4 2025) and $798,184 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - | 149.76 Mn |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - | 5.41 Bn |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Graf Global | 251.83 Mn | 251.83 Mn | - | 1.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.94 Mn |
| Mar 31, 2026 | 31,045.00 |
| Dec 31, 2025 | 560,484.00 |
| Sep 30, 2025 | 798,184.00 |
| Jun 30, 2025 | 193,321.00 |
| Mar 31, 2025 | 273,149.00 |
| Dec 31, 2024 | 218,737.00 |
| Sep 30, 2024 | 195,207.00 |
| Jun 30, 2024 | 71,135.00 |
| Mar 31, 2024 | 46,200.00 |
| Dec 31, 2023 | 3,106.00 |
Graf Global Operating 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=operating-expenses&ticker=TONT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TONT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();