Block (XYZ) Operating Expenses (2015 - 2026)
Block (XYZ) recorded Operating Expenses of $2.72 billion in Q2 2026, up 32.5% from $2.05 billion a year earlier but down 11.7% from the prior quarter.
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Analysis
Block (XYZ) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Block's Operating Expenses came in at $10.44 billion as of Jun 30, 2026, up 26.7% year-over-year; for FY2025, it was $8.65 billion, up 8.2% from FY2024.
- Annual Operating Expenses has increased for 11 straight years, with a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $8 billion in FY2024 (+2.7%), $7.78 billion in FY2023 (+17.6%), $6.62 billion in FY2022 (+55.4%) and $4.26 billion in FY2021 (+54.7%).
- Quarterly Operating Expenses has ranged from $1.11 billion in Q3 2021 to $3.08 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for eight consecutive quarters, with growth averaging 16.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 69.9% in Q1 2022, against a decline of 3.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.08 billion (Q1 2026), $2.39 billion (Q4 2025) and $2.25 billion (Q3 2025).
Peer Set
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 | Hut 8 | 11.42 Bn | 11.26 Bn | 48.04 Mn | 76.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.72 Bn |
| Mar 31, 2026 | 3.08 Bn |
| Dec 31, 2025 | 2.39 Bn |
| Sep 30, 2025 | 2.25 Bn |
| Jun 30, 2025 | 2.05 Bn |
| Mar 31, 2025 | 1.96 Bn |
| Dec 31, 2024 | 2.30 Bn |
| Sep 30, 2024 | 1.93 Bn |
| Jun 30, 2024 | 1.93 Bn |
| Mar 31, 2024 | 1.84 Bn |
| Dec 31, 2023 | 2.16 Bn |
| Sep 30, 2023 | 1.91 Bn |
| Jun 30, 2023 | 2.00 Bn |
| Mar 31, 2023 | 1.72 Bn |
| Dec 31, 2022 | 1.80 Bn |
| Sep 30, 2022 | 1.62 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.52 Bn |
| Dec 31, 2021 | 1.24 Bn |
| Sep 30, 2021 | 1.11 Bn |
API Access
Block 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=XYZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XYZ", "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=XYZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();