Upexi (UPXI) Operating Expenses (2020 - 2026)
Upexi (UPXI) posted Operating Expenses of $30.87 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 211.6% from $9.91 million a year earlier but down 72.2% from the prior quarter.
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Analysis
Upexi (UPXI) Operating Expenses (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Upexi's Operating Expenses came in at $263.21 million.
- Annual Operating Expenses shows a five-year compound annual growth rate of 90.6% (FY2021 to FY2026).
- In prior fiscal years, Upexi's Operating Expenses was $23.37 million in FY2025 (-33.8%), $35.29 million in FY2024 (+6.0%), $33.3 million in FY2023 (+55.9%) and $21.36 million in FY2022 (+104.0%).
- Quarterly Operating Expenses has run from a low of -$60.87 million in fiscal Q1 2026 to a high of $182.08 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last five quarters, with growth averaging 15.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 213.2%; the weakest was fiscal Q2 2025, with a decline of 43.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $111.14 million (Q3 2026), $182.08 million (Q2 2026) and -$60.87 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.12 Bn | 6.93 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.45 Bn | 4.68 Bn | - | 7.26 Bn |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.49 Bn | 19.08 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 25.78 Bn | 15.98 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.12 Bn | 20.82 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.15 Bn | 588.57 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.50 Bn | 12.88 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.68 Bn | 8.25 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Upexi | 73.07 Mn | 59.96 Mn | 3.02 Mn | 30.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.87 Mn |
| Mar 31, 2026 | 111.14 Mn |
| Dec 31, 2025 | 182.08 Mn |
| Sep 30, 2025 | -60.87 Mn |
| Jun 30, 2025 | 9.91 Mn |
| Mar 31, 2025 | 5.15 Mn |
| Dec 31, 2024 | 4.05 Mn |
| Sep 30, 2024 | 4.27 Mn |
| Jun 30, 2024 | 14.93 Mn |
| Mar 31, 2024 | 6.31 Mn |
| Dec 31, 2023 | 7.17 Mn |
| Sep 30, 2023 | 6.89 Mn |
| Jun 30, 2023 | 6.67 Mn |
| Mar 31, 2023 | 9.71 Mn |
| Dec 31, 2022 | 11.79 Mn |
| Sep 30, 2022 | 8.19 Mn |
| Jun 30, 2022 | 6.21 Mn |
| Mar 31, 2022 | 4.87 Mn |
| Dec 31, 2021 | 6.81 Mn |
| Sep 30, 2021 | 3.48 Mn |
API Access
Upexi 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=UPXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UPXI", "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=UPXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();