Marqeta (MQ) Return on Sales [ROS] (2020 - 2026)
Marqeta (MQ) recorded Return on Sales [ROS] of 2.07% in Q2 2026, up 8.20 percentage points from -6.14% a year earlier and up 0.80 percentage points from the prior quarter.
Marqeta (MQ) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Marqeta's Return on Sales [ROS] came in at -1.91% as of Jun 30, 2026, up 17.51 percentage points year-over-year; for FY2025, it was -7.43%, down 2.60 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +8.79 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -4.83% in FY2024 (+37.03 pp), -41.86% in FY2023 (-13.81 pp), -28.04% in FY2022 (+3.28 pp) and -31.33% in FY2021 (-15.10 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +7.76 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 113.89 percentage points in Q2 2024, against a drop of 89.99 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.26% (Q1 2026), -4.82% (Q4 2025) and -6.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - | -9.30% |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - | 16.44% |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn | 6.75% |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn | -452.09% |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - | 35.28% |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn | 19.18% |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn | 10.15% |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn | -25.50% |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn | 15.16% |
| 10 | Marqeta | 1.72 Bn | -1.29 Bn | 121.87 Mn | 2.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.07% |
| Mar 31, 2026 | 1.26% |
| Dec 31, 2025 | -4.82% |
| Sep 30, 2025 | -6.35% |
| Jun 30, 2025 | -6.14% |
| Mar 31, 2025 | -13.33% |
| Dec 31, 2024 | -27.56% |
| Sep 30, 2024 | -33.00% |
| Jun 30, 2024 | 83.85% |
| Mar 31, 2024 | -42.26% |
| Dec 31, 2023 | -47.41% |
| Sep 30, 2023 | -64.12% |
| Jun 30, 2023 | -30.04% |
| Mar 31, 2023 | -40.23% |
| Dec 31, 2022 | -26.65% |
| Sep 30, 2022 | -31.05% |
| Jun 30, 2022 | -25.03% |
| Mar 31, 2022 | -29.66% |
| Dec 31, 2021 | -24.28% |
| Sep 30, 2021 | -34.70% |
Marqeta Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();