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.
Powered by 
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 | 916.79 Bn | 916.79 Bn | - | 91.99% |
| 2 | Bank Of America | 362.89 Bn | -2,013.22 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 313.65 Bn | -1,789.94 Bn | - | 48.15% |
| 4 | Morgan Stanley | 293.12 Bn | -250.91 Bn | - | 95.47% |
| 5 | Royal Bank Of Canada | 287.35 Bn | -542.69 Bn | - | 138.04% |
| 6 | Goldman Sachs | 268.91 Bn | -3,474.54 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 259.27 Bn | 259.27 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 247.03 Bn | -94.36 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 219.06 Bn | 18.54 Bn | - | 32.15% |
| 10 | First Keystone | 120.27 Mn | -480.90 Mn | - | 112.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.21% |
| Mar 31, 2026 | 112.13% |
| Dec 31, 2025 | 79.07% |
| Sep 30, 2025 | 117.52% |
| Jun 30, 2025 | 111.99% |
| Mar 31, 2025 | 100.38% |
| Dec 31, 2024 | 117.97% |
| Sep 30, 2024 | 115.48% |
| Jun 30, 2024 | 114.72% |
| Mar 31, 2024 | -103.40% |
| Dec 31, 2023 | 115.97% |
| Sep 30, 2023 | 103.62% |
| 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();