AppTech Payments (APCX) Return on Sales [ROS] (2019 - 2026)
AppTech Payments (APCX) recorded Return on Sales [ROS] of -195.47% in Q1 2026, up 1028.49 percentage points from -1223.96% a year earlier and up 27.41 percentage points from the prior quarter.
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Analysis
AppTech Payments (APCX) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, AppTech Payments' Return on Sales [ROS] came in at -294.91% as of Mar 31, 2026, up 2069.00 percentage points year-over-year; for FY2025, it came in at -543.30%, up 2915.76 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +552.17 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -3459.06% in FY2024 (+347.49 pp), -3806.55% in FY2023 (-198.99 pp), -3607.56% in FY2022 (-25449.36 pp) and 21841.81% in FY2021 (+22937.28 pp).
- The Q1 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +1571.66 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 59610.75 percentage points in Q1 2022, against a drop of 4394.33 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -222.88% (Q4 2025), -692.07% (Q3 2025) and -646.39% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 53.52 Bn | 25.30 Bn | 3.24 Bn | 6.38% |
| 2 | PayPal Holdings | 51.28 Bn | 9.98 Bn | - | 16.33% |
| 3 | Coinbase Global | 36.03 Bn | -3.61 Bn | - | 5.07% |
| 4 | Fiserv | 33.99 Bn | 31.19 Bn | 2.76 Bn | -105.74% |
| 5 | Corpay | 29.89 Bn | 18.71 Bn | - | 44.96% |
| 6 | Global Payments | 26.00 Bn | 824.24 Mn | 2.01 Bn | 7.45% |
| 7 | Guidewire Software | 13.47 Bn | 10.03 Bn | 269.68 Mn | 15.16% |
| 8 | Chime Financial | 12.56 Bn | 8.25 Bn | 646.07 Mn | 4.78% |
| 9 | Jack Henry & Associates | 12.48 Bn | 12.38 Bn | 273.85 Mn | 21.24% |
| 10 | AppTech Payments | 4.83 Mn | 4.83 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -195.47% |
| Dec 31, 2025 | -222.88% |
| Sep 30, 2025 | -692.07% |
| Jun 30, 2025 | -646.39% |
| Mar 31, 2025 | -1,223.96% |
| Dec 31, 2024 | -3,413.46% |
| Sep 30, 2024 | -4,302.33% |
| Jun 30, 2024 | -3,803.95% |
| Mar 31, 2024 | -2,886.67% |
| Dec 31, 2023 | -2,390.07% |
| Sep 30, 2023 | -2,058.57% |
| Jun 30, 2023 | -6,994.78% |
| Mar 31, 2023 | -4,002.25% |
| Dec 31, 2022 | -4,166.67% |
| Sep 30, 2022 | -2,449.57% |
| Jun 30, 2022 | -3,426.83% |
| Mar 31, 2022 | -5,395.19% |
| Dec 31, 2021 | 227.66% |
| Sep 30, 2021 | -2,609.78% |
| Jun 30, 2021 | -3,004.64% |
API Access
AppTech Payments 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=APCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "APCX", "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=APCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();