Marqeta (MQ) Operating Expenses (2020 - 2026)
Marqeta's Operating Expenses came in at $118.24 million for Q2 2026, up 4.4% from $113.29 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Marqeta (MQ) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Marqeta reported Operating Expenses of $486.93 million, down 2.3% year-over-year; for FY2025, it was $483.7 million, up 28.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $376.32 million in FY2024 (-38.6%), $612.53 million in FY2023 (+15.6%), $529.81 million in FY2022 (+34.6%) and $393.71 million in FY2021 (+138.6%).
- The five-year range for quarterly Operating Expenses is -$25.69 million (Q2 2024) to $176.6 million (Q1 2023).
- Year-over-year, Operating Expenses increased in 1 of the last seven quarters, with an average decline of 4.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 129.1%), and the weakest in Q1 2024 (a decline of 24.1%).
- Business Quant data shows MQ's Operating Expenses at $115.5 million (Q1 2026), $128.27 million (Q4 2025) and $124.93 million (Q3 2025) in the three quarters before Q2 2026.
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 | Marqeta | 1.76 Bn | -1.26 Bn | 121.87 Mn | 118.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.24 Mn |
| Mar 31, 2026 | 115.50 Mn |
| Dec 31, 2025 | 128.27 Mn |
| Sep 30, 2025 | 124.93 Mn |
| Jun 30, 2025 | 113.29 Mn |
| Mar 31, 2025 | 117.22 Mn |
| Dec 31, 2024 | 135.63 Mn |
| Sep 30, 2024 | 132.36 Mn |
| Jun 30, 2024 | -25.69 Mn |
| Mar 31, 2024 | 134.01 Mn |
| Dec 31, 2023 | 139.57 Mn |
| Sep 30, 2023 | 142.33 Mn |
| Jun 30, 2023 | 154.03 Mn |
| Mar 31, 2023 | 176.60 Mn |
| Dec 31, 2022 | 141.45 Mn |
| Sep 30, 2022 | 139.60 Mn |
| Jun 30, 2022 | 124.77 Mn |
| Mar 31, 2022 | 124.00 Mn |
| Dec 31, 2021 | 113.53 Mn |
| Sep 30, 2021 | 104.71 Mn |
API Access
Marqeta 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=MQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MQ", "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=MQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();