FiEE (FIEE) Return on Sales [ROS] (2010 - 2026)
FiEE's Return on Sales [ROS] came in at 54.79% for Q2 2026, up 1470.37 percentage points from -1415.58% a year earlier and up 34.69 percentage points from the prior quarter.
FiEE (FIEE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, FiEE reported Return on Sales [ROS] of 42.98%, up 3335.33 percentage points year-over-year; for FY2025, it came in at 25.03%, up 686.95 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +35.08 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -661.92% in FY2024 (-596.01 pp), -65.91% in FY2023 (-36.19 pp), -29.72% in FY2022 (-26.24 pp) and -3.48% in FY2021 (+6.56 pp).
- The five-year range for quarterly Return on Sales [ROS] is -296896.80% (Q1 2025) to 63.18% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +118.87 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 296916.90 percentage points), and the weakest in Q1 2025 (a drop of 296385.83 percentage points).
- Business Quant data shows FIEE's Return on Sales [ROS] at 20.10% (Q1 2026), 63.18% (Q4 2025) and -5.19% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 21.12% |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 2.98% |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 15.85% |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 10.76% |
| 10 | FiEE | 30.79 Mn | 11.74 Mn | 3.87 Mn | 54.79% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.79% |
| Mar 31, 2026 | 20.10% |
| Dec 31, 2025 | 63.18% |
| Sep 30, 2025 | -5.19% |
| Jun 30, 2025 | -1,415.58% |
| Mar 31, 2025 | -296,896.80% |
| Dec 31, 2024 | -661.92% |
| Sep 30, 2024 | -260.64% |
| Jun 30, 2024 | -131.59% |
| Mar 31, 2024 | -510.97% |
| Dec 31, 2023 | -75.11% |
| Sep 30, 2023 | -100.38% |
| Jun 30, 2023 | -75.89% |
| Mar 31, 2023 | -36.51% |
| Dec 31, 2022 | -40.96% |
| Sep 30, 2022 | -28.57% |
| Jun 30, 2022 | -33.32% |
| Mar 31, 2022 | -18.46% |
| Dec 31, 2021 | -16.59% |
| Sep 30, 2021 | 11.90% |
FiEE 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=FIEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FIEE", "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=FIEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();