Marqeta (MQ) Total Liabilities (2020 - 2026)
Marqeta (MQ) recorded Total Liabilities of $676.67 million in Q2 2026, up 82.3% from $371.16 million a year earlier but down 7.9% from the prior quarter.
Marqeta (MQ) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Marqeta reported Total Liabilities of $763.08 million, up 101.8% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $378.19 million in FY2024 (+9.2%), $346.3 million in FY2023 (+16.4%), $297.39 million in FY2022 (+15.7%) and $256.95 million in FY2021 (-61.7%).
- Quarterly Total Liabilities has ranged from $209.8 million in Q3 2021 to $763.08 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 17 consecutive quarters, with growth averaging 51.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 102.7% in Q1 2026, against a decline of 61.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $734.43 million (Q1 2026), $763.08 million (Q4 2025) and $649.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 13.38 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 62.92 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 17.11 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 11.60 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 24.64 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 53.96 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 39.81 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 30.13 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 1.38 Bn |
| 10 | Marqeta | 1.76 Bn | -1.26 Bn | 121.87 Mn | 676.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 676.67 Mn |
| Mar 31, 2026 | 734.43 Mn |
| Dec 31, 2025 | 763.08 Mn |
| Sep 30, 2025 | 649.20 Mn |
| Jun 30, 2025 | 371.16 Mn |
| Mar 31, 2025 | 362.37 Mn |
| Dec 31, 2024 | 378.19 Mn |
| Sep 30, 2024 | 340.18 Mn |
| Jun 30, 2024 | 345.91 Mn |
| Mar 31, 2024 | 347.70 Mn |
| Dec 31, 2023 | 346.30 Mn |
| Sep 30, 2023 | 308.17 Mn |
| Jun 30, 2023 | 331.53 Mn |
| Mar 31, 2023 | 340.53 Mn |
| Dec 31, 2022 | 297.39 Mn |
| Sep 30, 2022 | 262.12 Mn |
| Jun 30, 2022 | 242.37 Mn |
| Mar 31, 2022 | 249.85 Mn |
| Dec 31, 2021 | 256.95 Mn |
| Sep 30, 2021 | 209.80 Mn |
Marqeta Total Liabilities 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=total-liabilities&ticker=MQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();