Pathward Financial (CASH) Return on Sales [ROS] (2009 - 2026)
Pathward Financial (CASH) recorded Return on Sales [ROS] of 17.58% in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.17 percentage points from 24.74% a year earlier and down 48.47 percentage points from the prior quarter.
Pathward Financial (CASH) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Pathward Financial's Return on Sales [ROS] came in at 33.02% as of Jun 30, 2026, up 5.86 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 27.94%, down 2.14 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1.89 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 30.08% in FY2024 (+7.28 pp), 22.80% in FY2023 (-7.14 pp), 29.95% in FY2022 (+0.25 pp) and 29.70% in FY2021 (-0.13 pp).
- The fiscal Q3 2026 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +3.78 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 30.72 percentage points in fiscal Q2 2026, against a drop of 24.69 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 66.05% (Q2 2026), 25.73% (Q1 2026) and 30.22% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Pathward Financial | 1.56 Bn | 1.56 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.58% |
| Mar 31, 2026 | 66.05% |
| Dec 31, 2025 | 25.73% |
| Sep 30, 2025 | 30.22% |
| Jun 30, 2025 | 24.74% |
| Mar 31, 2025 | 35.33% |
| Dec 31, 2024 | 21.51% |
| Sep 30, 2024 | 23.02% |
| Jun 30, 2024 | 28.77% |
| Mar 31, 2024 | 37.10% |
| Dec 31, 2023 | 28.37% |
| Sep 30, 2023 | 15.08% |
| Jun 30, 2023 | 22.78% |
| Mar 31, 2023 | 53.44% |
| Dec 31, 2022 | 23.05% |
| Sep 30, 2022 | 16.11% |
| Jun 30, 2022 | 24.61% |
| Mar 31, 2022 | 52.65% |
| Dec 31, 2021 | 47.74% |
| Sep 30, 2021 | 15.98% |
Pathward Financial 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=CASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CASH", "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=CASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();