First Keystone (FKYS) Return on Sales [ROS] (2010 - 2026)
First Keystone's Return on Sales [ROS] was 1639.16% in Q2 2026, up 132.25 percentage points from 1506.90% a year earlier and up 155.24 percentage points from the prior quarter.
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Analysis
First Keystone (FKYS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Keystone's Return on Sales [ROS] was 1411.60% through Jun 30, 2026, up 4.23 percentage points year-over-year; for FY2025, it was 1337.01%, up 551.84 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +1286.59 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 785.17% in FY2024 (-302.71 pp), 1087.88% in FY2023 (+1028.97 pp), 58.91% in FY2022 (+8.81 pp) and 50.10% in FY2021 (-0.32 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +381.12 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2025 (a gain of 2495.49 percentage points); the worst was Q1 2024 (a drop of 1261.52 percentage points).
- Per Business Quant data, FKYS's Return on Sales [ROS] in the three quarters before Q2 2026 was 1483.92% (Q1 2026), 1056.61% (Q4 2025) and 1475.14% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | First Keystone | 121.96 Mn | -479.21 Mn | - | 1,639.16% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,639.16% |
| Mar 31, 2026 | 1,483.92% |
| Dec 31, 2025 | 1,056.61% |
| Sep 30, 2025 | 1,475.14% |
| Jun 30, 2025 | 1,506.90% |
| Mar 31, 2025 | 1,309.67% |
| Dec 31, 2024 | 1,420.14% |
| Sep 30, 2024 | 1,388.24% |
| Jun 30, 2024 | 1,342.82% |
| Mar 31, 2024 | -1,185.83% |
| Dec 31, 2023 | 1,348.13% |
| Sep 30, 2023 | 1,100.76% |
| Jun 30, 2023 | 92.51% |
| Mar 31, 2023 | 75.69% |
| Dec 31, 2022 | 79.31% |
| Sep 30, 2022 | 58.66% |
| Jun 30, 2022 | 51.46% |
| Mar 31, 2022 | 48.71% |
| Dec 31, 2021 | 43.25% |
| Sep 30, 2021 | 53.56% |
API Access
First Keystone 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=FKYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FKYS", "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=FKYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();