TON Strategy (TONX) Operating Expenses (2013 - 2026)
TON Strategy (TONX) recorded Operating Expenses of $7.84 million in Q1 2026, up 132.8% from $3.37 million a year earlier but down 47.3% from the prior quarter.
TON Strategy (TONX) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, TON Strategy's Operating Expenses came in at $53.1 million as of Mar 31, 2026, up 318.7% year-over-year; for FY2025, it was $49.22 million, up 292.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $12.54 million in FY2024 (-9.5%), $13.86 million in FY2023 (-26.6%), $18.88 million in FY2022 (-52.5%) and $39.73 million in FY2021 (+32.9%).
- Quarterly Operating Expenses has ranged from $2.44 million in Q3 2024 to $25.32 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 176.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 937.6% in Q3 2025, against a decline of 62.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.88 million (Q4 2025), $25.32 million (Q3 2025) and $5.06 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 7.26 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 207.36 Mn |
| 10 | TON Strategy | 224.99 Mn | 86.09 Mn | 3.96 Mn | 7.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.84 Mn |
| Dec 31, 2025 | 14.88 Mn |
| Sep 30, 2025 | 25.32 Mn |
| Jun 30, 2025 | 5.06 Mn |
| Mar 31, 2025 | 3.37 Mn |
| Dec 31, 2024 | 4.43 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.44 Mn |
| Mar 31, 2024 | 3.22 Mn |
| Dec 31, 2023 | 3.04 Mn |
| Sep 30, 2023 | 3.42 Mn |
| Jun 30, 2023 | 3.27 Mn |
| Mar 31, 2023 | 4.13 Mn |
| Dec 31, 2022 | 3.34 Mn |
| Sep 30, 2022 | 5.56 Mn |
| Jun 30, 2022 | 4.80 Mn |
| Mar 31, 2022 | 9.03 Mn |
| Dec 31, 2021 | 8.89 Mn |
| Sep 30, 2021 | 10.04 Mn |
| Jun 30, 2021 | 10.16 Mn |
TON Strategy 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=TONX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TONX", "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=TONX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();