Usbc (USBC) Operating Expenses (2010 - 2026)
Usbc (USBC) recorded Operating Expenses of $28.1 million in Q3 2026, up 711.6% from $3.46 million a year earlier and up 140.8% from the prior quarter.
Usbc (USBC) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Usbc's Operating Expenses came in at $68.71 million as of Jun 30, 2026, up 491.1% year-over-year; for FY2025, it came in at $18.05 million, up 18.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $15.22 million in FY2024 (+8.6%), $14.02 million in FY2023 (-17.2%), $16.93 million in FY2022 (+62.1%) and $10.45 million in FY2021 (+51.9%).
- The Q3 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2010.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 235.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 711.6% in Q3 2026, against a decline of 60.1% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.67 million (Q2 2026), $17.13 million (Q1 2026) and $11.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 53.15 Bn | 24.92 Bn | 3.24 Bn | 2.81 Bn |
| 2 | PayPal Holdings | 51.11 Bn | 9.81 Bn | - | 7.18 Bn |
| 3 | Coinbase Global | 36.65 Bn | -2.99 Bn | - | 1.15 Bn |
| 4 | Fiserv | 33.71 Bn | 30.91 Bn | 2.76 Bn | 10.69 Bn |
| 5 | Corpay | 29.69 Bn | 18.51 Bn | - | 241.27 Mn |
| 6 | Global Payments | 26.07 Bn | 895.69 Mn | 2.01 Bn | 3.06 Bn |
| 7 | Guidewire Software | 13.40 Bn | 9.97 Bn | 269.68 Mn | 207.36 Mn |
| 8 | Chime Financial | 12.52 Bn | 8.21 Bn | 646.07 Mn | 611.74 Mn |
| 9 | Jack Henry & Associates | 12.37 Bn | 12.27 Bn | 273.85 Mn | 507.25 Mn |
| 10 | Usbc | 152.99 Mn | 135.04 Mn | - | 16.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.43 Mn |
| Mar 31, 2026 | 11.67 Mn |
| Dec 31, 2025 | 17.13 Mn |
| Sep 30, 2025 | 11.82 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 2.21 Mn |
| Dec 31, 2024 | 2.77 Mn |
| Sep 30, 2024 | 3.19 Mn |
| Jun 30, 2024 | 3.84 Mn |
| Mar 31, 2024 | 4.73 Mn |
| Dec 31, 2023 | 3.50 Mn |
| Sep 30, 2023 | 2.33 Mn |
| Jun 30, 2023 | 3.24 Mn |
| Mar 31, 2023 | 4.81 Mn |
| Dec 31, 2022 | 3.65 Mn |
| Sep 30, 2022 | 5.84 Mn |
| Jun 30, 2022 | 3.03 Mn |
| Mar 31, 2022 | 2.85 Mn |
| Dec 31, 2021 | 5.22 Mn |
| Sep 30, 2021 | 2.42 Mn |
Usbc 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=USBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "USBC", "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=USBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();