Flash Sports & Media Holdings (FLZH) Operating Expenses (2017 - 2026)
Flash Sports & Media Holdings' Operating Expenses was $6.53 million in Q2 2026, up 8.8% from $6 million a year earlier and up 207.2% from the prior quarter.
Flash Sports & Media Holdings (FLZH) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flash Sports & Media Holdings' Operating Expenses was $17.4 million through Jun 30, 2026, down 32.9% year-over-year; for FY2025, it was $18.19 million, down 35.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $28.03 million in FY2024 (-15.5%), $33.19 million in FY2023 (+22.5%), $27.09 million in FY2022 (+81.0%) and $14.96 million in FY2021 (+76.9%).
- Quarterly Operating Expenses has moved between $618,901 (Q1 2025) and $15.39 million (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 8.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2026 (growth of 243.4%); the worst was Q1 2025 (a decline of 88.7%).
- Per Business Quant data, FLZH's Operating Expenses in the three quarters before Q2 2026 was $2.13 million (Q1 2026), $6.68 million (Q4 2025) and $2.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 292.57 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 524.00 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 972.05 Mn |
| 10 | Flash Sports & Media Holdings | 613,414.62 | 64.56 Mn | 44,318.00 | 6.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.53 Mn |
| Mar 31, 2026 | 2.13 Mn |
| Dec 31, 2025 | 6.68 Mn |
| Sep 30, 2025 | 2.06 Mn |
| Jun 30, 2025 | 6.00 Mn |
| Mar 31, 2025 | 618,901.00 |
| Dec 31, 2024 | 15.39 Mn |
| Sep 30, 2024 | 3.90 Mn |
| Jun 30, 2024 | 5.09 Mn |
| Mar 31, 2024 | 5.47 Mn |
| Dec 31, 2023 | 12.51 Mn |
| Sep 30, 2023 | 5.93 Mn |
| Jun 30, 2023 | 6.66 Mn |
| Mar 31, 2023 | 8.09 Mn |
| Dec 31, 2022 | 6.16 Mn |
| Sep 30, 2022 | 9.80 Mn |
| Jun 30, 2022 | 5.38 Mn |
| Mar 31, 2022 | 5.75 Mn |
| Dec 31, 2021 | 5.58 Mn |
| Sep 30, 2021 | 4.19 Mn |
Flash Sports & Media Holdings Operating Expenses 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=operating-expenses&ticker=FLZH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FLZH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();