Fuse Group Holding (FUST) Operating Expenses (2015 - 2026)
Fuse Group Holding (FUST) reported Operating Expenses of $23,441 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 76.0% from $97,819 a year earlier and down 55.5% from the prior quarter.
Fuse Group Holding (FUST) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fuse Group Holding's Operating Expenses came in at $192,567, down 45.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $323,804, down 11.4% from FY2024.
- Operating Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $365,377 in FY2024 (-19.7%), $455,119 in FY2023 (-27.0%), $623,639 in FY2022 (-63.0%) and $1.68 million in FY2021 (+183.7%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q4 2016.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with an average decline of 21.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2021 (growth of 654.6%); the low point was fiscal Q4 2022 (a decline of 90.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $52,670 (Q2 2026), $38,828 (Q1 2026) and $77,628 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Fuse Group Holding | 1.38 Mn | 1.31 Mn | - | 23,441.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23,441.00 |
| Mar 31, 2026 | 52,670.00 |
| Dec 31, 2025 | 38,828.00 |
| Sep 30, 2025 | 77,628.00 |
| Jun 30, 2025 | 97,819.00 |
| Mar 31, 2025 | 81,218.00 |
| Dec 31, 2024 | 66,798.00 |
| Sep 30, 2024 | 106,712.00 |
| Jun 30, 2024 | 64,422.00 |
| Mar 31, 2024 | 114,848.00 |
| Dec 31, 2023 | 79,395.00 |
| Sep 30, 2023 | 106,746.00 |
| Jun 30, 2023 | 99,790.00 |
| Mar 31, 2023 | 133,382.00 |
| Dec 31, 2022 | 115,201.00 |
| Sep 30, 2022 | 110,625.00 |
| Jun 30, 2022 | 127,445.00 |
| Mar 31, 2022 | 205,747.00 |
| Dec 31, 2021 | 179,822.00 |
| Sep 30, 2021 | 1.17 Mn |
Fuse Group Holding 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=FUST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FUST", "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=FUST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();