Powercompute (PWCM) Operating Expenses (2014 - 2026)
Powercompute (PWCM) recorded Operating Expenses of $5.97 million in Q2 2026, up 296.8% from $1.5 million a year earlier but down 30.1% from the prior quarter.
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Analysis
Powercompute (PWCM) Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Powercompute's Operating Expenses came in at $37.27 million as of Jun 30, 2026, up 142.5% year-over-year; for FY2025, it was $31.73 million, up 81.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 42.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $17.46 million in FY2024 (-24.3%), $23.06 million in FY2023 (-12.7%), $26.41 million in FY2022 (+183.0%) and $9.33 million in FY2021 (+75.5%).
- Quarterly Operating Expenses has ranged from $1.14 million in Q4 2024 to $17.06 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last seven quarters, with growth averaging 34.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 774.1% in Q2 2022, against a decline of 80.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.54 million (Q1 2026), $17.06 million (Q4 2025) and $5.7 million (Q3 2025).
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 | Powercompute | 925,315.39 | -4.32 Mn | 545,311.00 | 5.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.97 Mn |
| Mar 31, 2026 | 8.54 Mn |
| Dec 31, 2025 | 17.06 Mn |
| Sep 30, 2025 | 5.70 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 7.47 Mn |
| Dec 31, 2024 | 1.14 Mn |
| Sep 30, 2024 | 5.26 Mn |
| Jun 30, 2024 | 7.32 Mn |
| Mar 31, 2024 | 3.74 Mn |
| Dec 31, 2023 | 5.83 Mn |
| Sep 30, 2023 | 6.59 Mn |
| Jun 30, 2023 | 6.35 Mn |
| Mar 31, 2023 | 4.28 Mn |
| Dec 31, 2022 | 10.13 Mn |
| Sep 30, 2022 | 5.45 Mn |
| Jun 30, 2022 | 5.61 Mn |
| Mar 31, 2022 | 5.22 Mn |
| Dec 31, 2021 | 4.37 Mn |
| Sep 30, 2021 | 2.42 Mn |
API Access
Powercompute 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=PWCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PWCM", "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=PWCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();