Jiayin (JFIN) Return on Sales [ROS] (2018 - 2026)
Jiayin (JFIN) recorded Return on Sales [ROS] of -33.35% in Q2 2026, down 67.24 percentage points from 33.88% a year earlier and down 24.13 percentage points from the prior quarter.
Jiayin (JFIN) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, Jiayin's Return on Sales [ROS] came in at 5.34% as of Jun 30, 2026, down 24.56 percentage points year-over-year; for FY2025, it came in at 28.48%, up 6.97 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +19.25 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 21.51% in FY2024 (+0.42 pp), 21.09% in FY2023 (-0.47 pp), 21.56% in FY2022 (+12.87 pp) and 8.70% in FY2021 (-0.54 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q1 2018.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -8.03 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 18.44 percentage points in Q2 2025, against a drop of 67.24 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -9.22% (Q1 2026), 8.68% (Q4 2025) and 30.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.12 Bn | 8.35 Bn | - | 16.44% |
| 2 | Block | 45.99 Bn | 17.28 Bn | 3.17 Bn | 6.75% |
| 3 | Coinbase Global | 43.81 Bn | 619.86 Mn | - | -9.30% |
| 4 | Corpay | 26.77 Bn | 16.66 Bn | - | 35.28% |
| 5 | Fiserv | 26.39 Bn | 23.06 Bn | 2.90 Bn | 19.18% |
| 6 | Global Payments | 22.40 Bn | 185.87 Mn | 2.03 Bn | 10.15% |
| 7 | Guidewire Software | 15.93 Bn | 12.50 Bn | 269.68 Mn | 15.16% |
| 8 | Bitmine Immersion Technologies | 12.44 Bn | 9.82 Bn | 40.81 Mn | -25.50% |
| 9 | Jack Henry & Associates | 11.59 Bn | 11.49 Bn | 273.85 Mn | 21.24% |
| 10 | Jiayin | 67.63 Mn | -39.11 Mn | - | -33.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.35% |
| Mar 31, 2026 | -9.22% |
| Dec 31, 2025 | 8.68% |
| Sep 30, 2025 | 30.91% |
| Jun 30, 2025 | 33.88% |
| Mar 31, 2025 | 34.17% |
| Dec 31, 2024 | 27.96% |
| Sep 30, 2024 | 21.58% |
| Jun 30, 2024 | 15.38% |
| Mar 31, 2024 | 21.45% |
| Dec 31, 2023 | 14.49% |
| Sep 30, 2023 | 9.88% |
| Jun 30, 2023 | 15.93% |
| Mar 31, 2023 | 31.24% |
| Dec 31, 2022 | 374,106.48% |
| Sep 30, 2022 | 50,586.23% |
| Jun 30, 2022 | 100,038.17% |
| Mar 31, 2022 | 66,358.91% |
| Dec 31, 2021 | 17.16% |
| Sep 30, 2021 | 10.97% |
Jiayin 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=JFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JFIN", "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=JFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();