Flash Sports & Media Holdings (FLZH) Return on Sales [ROS] (2017 - 2026)
Flash Sports & Media Holdings (FLZH) reported Return on Sales [ROS] of -14630.48% for Q2 2026, down 14553.79 percentage points from -76.69% a year earlier.
Flash Sports & Media Holdings (FLZH) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Flash Sports & Media Holdings' Return on Sales [ROS] came in at -161.04%, down 19.55 percentage points year-over-year; for FY2025, it came in at -103.52%, down 12.44 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -92.89 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -91.08% in FY2024 (-57.78 pp), -33.30% in FY2023 (-10.78 pp), -22.52% in FY2022 (-22.19 pp) and -0.33% in FY2021 (+10.30 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] in data going back to Q2 2017.
- Year over year, Return on Sales [ROS] gained in 1 of the last seven quarters, with an average year-over-year change of -2274.83 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 41.27 percentage points); the low point was Q2 2026 (a drop of 14553.79 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 10.62% |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 5.17% |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 18.77% |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 7.03% |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 14.37% |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 11.45% |
| 10 | Flash Sports & Media Holdings | 525,783.95 | 64.48 Mn | 44,318.00 | -14,630.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14,630.48% |
| Dec 31, 2025 | -1,311.68% |
| Sep 30, 2025 | -93.80% |
| Jun 30, 2025 | -76.69% |
| Mar 31, 2025 | -6.51% |
| Dec 31, 2024 | -75.68% |
| Sep 30, 2024 | -40.23% |
| Jun 30, 2024 | -14.93% |
| Mar 31, 2024 | -16.08% |
| Dec 31, 2023 | -69.74% |
| Sep 30, 2023 | -17.91% |
| Jun 30, 2023 | -22.48% |
| Mar 31, 2023 | -30.32% |
| Dec 31, 2022 | -27.40% |
| Sep 30, 2022 | -59.19% |
| Jun 30, 2022 | -11.85% |
| Mar 31, 2022 | -5.40% |
| Dec 31, 2021 | -3.41% |
| Sep 30, 2021 | 0.36% |
| Jun 30, 2021 | 1.73% |
Flash Sports & Media Holdings 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=FLZH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FLZH", "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=FLZH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();