Marqeta (MQ) Change in Accured Expenses (2020 - 2026)
Marqeta's Change in Accured Expenses was $5.8 million in Q2 2026, down 44.9% from $10.51 million a year earlier.
Marqeta (MQ) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marqeta's Change in Accured Expenses was $15.72 million through Jun 30, 2026; for FY2025, it was $22.71 million, up 50.3% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $15.11 million in FY2024 (+0.9%), $14.98 million in FY2023 (-32.7%), $22.26 million in FY2022 (-54.9%) and $49.37 million in FY2021 (+41.1%).
- Quarterly Change in Accured Expenses has moved between -$34.12 million (Q1 2026) and $25.07 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last six quarters, with growth averaging 29.8%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2025 (growth of 169.8%); the worst was Q3 2024 (a decline of 53.6%).
- Per Business Quant data, MQ's Change in Accured Expenses in the three quarters before Q2 2026 was -$34.12 million (Q1 2026), $25.07 million (Q4 2025) and $18.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - | - |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - | - |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn | - |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn | 31.16 Mn |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - | 1.26 Bn |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn | 140.00 Mn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn | -70.94 Mn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn | -4.53 Mn |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn | 29.77 Mn |
| 10 | Marqeta | 1.72 Bn | -1.29 Bn | 121.87 Mn | 5.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.80 Mn |
| Mar 31, 2026 | -34.12 Mn |
| Dec 31, 2025 | 25.07 Mn |
| Sep 30, 2025 | 18.97 Mn |
| Jun 30, 2025 | 10.51 Mn |
| Mar 31, 2025 | -31.84 Mn |
| Dec 31, 2024 | 14.57 Mn |
| Sep 30, 2024 | 7.03 Mn |
| Jun 30, 2024 | 9.54 Mn |
| Mar 31, 2024 | -16.02 Mn |
| Dec 31, 2023 | 11.65 Mn |
| Sep 30, 2023 | 15.16 Mn |
| Jun 30, 2023 | 13.08 Mn |
| Mar 31, 2023 | -24.91 Mn |
| Dec 31, 2022 | 9.11 Mn |
| Sep 30, 2022 | 20.13 Mn |
| Jun 30, 2022 | 6.95 Mn |
| Mar 31, 2022 | -13.94 Mn |
| Dec 31, 2021 | 15.34 Mn |
| Sep 30, 2021 | 11.30 Mn |
Marqeta Change in Accured 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=change-in-accured-expenses&ticker=MQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();