Fuse Group Holding (FUST) Non Operating Interest Expenses (2016 - 2026)
Fuse Group Holding (FUST) reported Non Operating Interest Expenses of $523.00 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 62.1% from $1,379 a year earlier and down 83.8% from the prior quarter.
Fuse Group Holding (FUST) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fuse Group Holding's Non Operating Interest Expenses came in at $6,548, up 99.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $3,440, down 32.6% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- By fiscal year, Non Operating Interest Expenses came in at $5,104 in FY2024 (-70.5%), $17,283 in FY2023 (+103.4%), $8,498 in FY2022 (+109.7%) and $4,053 in FY2021 (+308.6%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses since fiscal Q1 2020.
- Year over year, Non Operating Interest Expenses gained in three of the last six quarters, with an average decline of 1.0%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q1 2023 (growth of 321.5%); the low point was fiscal Q3 2024 (a decline of 82.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3,223 (Q2 2026), $1,347 (Q1 2026) and $1,455 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 10.67 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 36.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 5.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 22.27 Mn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Fuse Group Holding | 1.38 Mn | 1.31 Mn | - | 523.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 523.00 |
| Mar 31, 2026 | 3,223.00 |
| Dec 31, 2025 | 1,347.00 |
| Sep 30, 2025 | 1,455.00 |
| Jun 30, 2025 | 1,379.00 |
| Dec 31, 2024 | 947.00 |
| Sep 30, 2024 | 952.00 |
| Jun 30, 2024 | 1,144.00 |
| Mar 31, 2024 | 1,659.00 |
| Dec 31, 2023 | 1,349.00 |
| Sep 30, 2023 | 1,359.00 |
| Jun 30, 2023 | 6,570.00 |
| Mar 31, 2023 | 5,076.00 |
| Dec 31, 2022 | 4,278.00 |
| Sep 30, 2022 | 3,448.00 |
| Jun 30, 2022 | 2,588.00 |
| Mar 31, 2022 | 1,447.00 |
| Dec 31, 2021 | 1,015.00 |
| Sep 30, 2021 | 1,020.00 |
| Jun 30, 2021 | 1,021.00 |
Fuse Group Holding Non Operating Interest 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=non-operating-interest-expenses&ticker=FUST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=FUST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();