Marqeta (MQ) Total Non-Current Liabilities (2020 - 2026)
Marqeta's Total Non-Current Liabilities was $666.44 million in Q2 2026, up 83.0% from $364.27 million a year earlier but down 8.2% from the prior quarter.
Marqeta (MQ) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Marqeta came in at $754.59 million, up 102.9% from FY2024.
- Total Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $371.86 million in FY2024 (+8.8%), $341.71 million in FY2023 (+17.1%), $291.91 million in FY2022 (+16.6%) and $250.4 million in FY2021 (-62.1%).
- Quarterly Total Non-Current Liabilities has moved between $201.72 million (Q3 2021) and $754.59 million (Q4 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 17 straight quarters, with growth averaging 51.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2026 (growth of 103.3%); the worst was Q4 2021 (a decline of 62.1%).
- Per Business Quant data, MQ's Total Non-Current Liabilities in the three quarters before Q2 2026 was $725.94 million (Q1 2026), $754.59 million (Q4 2025) and $641.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.12 Bn | 6.93 Bn | - | 13.16 Bn |
| 2 | PayPal Holdings | 46.45 Bn | 4.68 Bn | - | 59.30 Bn |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | 16.75 Bn |
| 4 | Iren | 31.49 Bn | 19.08 Bn | 103.89 Mn | 9.38 Bn |
| 5 | Corpay | 25.78 Bn | 15.98 Bn | - | 7.36 Bn |
| 6 | Fiserv | 24.12 Bn | 20.82 Bn | 2.90 Bn | 52.84 Bn |
| 7 | Global Payments | 22.15 Bn | 588.57 Mn | 2.03 Bn | 38.75 Bn |
| 8 | Bitmine Immersion Technologies | 15.50 Bn | 12.88 Bn | 40.81 Mn | 15.44 Mn |
| 9 | Guidewire Software | 11.68 Bn | 8.25 Bn | 269.68 Mn | 1.37 Bn |
| 10 | Marqeta | 1.77 Bn | -1.24 Bn | 121.87 Mn | 666.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 666.44 Mn |
| Mar 31, 2026 | 725.94 Mn |
| Dec 31, 2025 | 754.59 Mn |
| Sep 30, 2025 | 641.61 Mn |
| Jun 30, 2025 | 364.27 Mn |
| Mar 31, 2025 | 357.00 Mn |
| Dec 31, 2024 | 371.86 Mn |
| Sep 30, 2024 | 335.66 Mn |
| Jun 30, 2024 | 341.10 Mn |
| Mar 31, 2024 | 342.66 Mn |
| Dec 31, 2023 | 341.71 Mn |
| Sep 30, 2023 | 303.01 Mn |
| Jun 30, 2023 | 325.47 Mn |
| Mar 31, 2023 | 334.40 Mn |
| Dec 31, 2022 | 291.91 Mn |
| Sep 30, 2022 | 260.16 Mn |
| Jun 30, 2022 | 239.29 Mn |
| Mar 31, 2022 | 245.51 Mn |
| Dec 31, 2021 | 250.40 Mn |
| Sep 30, 2021 | 201.72 Mn |
Marqeta Total Non-Current 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-non-current-liabilities&ticker=MQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();