Singularity Future Technology (SGLY) Operating Expenses (2010 - 2025)
Singularity Future Technology (SGLY) posted Operating Expenses of $579,193 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 16.7% from $695,031 a year earlier but up 0.7% from the prior quarter.
Singularity Future Technology (SGLY) Operating Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Operating Expenses at Singularity Future Technology was $2.47 million, down 28.5% year-over-year; for FY2025 (ended Jun 30, 2025), it was $2.76 million, down 49.2% from FY2024.
- Annual Operating Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -33.1% (FY2020 to FY2025).
- In prior fiscal years, Singularity Future Technology's Operating Expenses was $5.44 million in FY2024 (-64.0%), $15.14 million in FY2023 (-32.8%), $22.54 million in FY2022 (+105.5%) and $10.97 million in FY2021 (-46.7%).
- Quarterly Operating Expenses has run from a low of -$169,939 in fiscal Q4 2025 to a high of $9.46 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last seven quarters, with an average decline of 38.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2022, with growth of 524.0%; the weakest was fiscal Q4 2024, with a decline of 80.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $575,168 (Q1 2026), -$169,939 (Q4 2025) and $1.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.10 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 2.34 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Singularity Future Technology | 349,458.33 | -43.46 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 579,193.00 |
| Sep 30, 2025 | 575,168.00 |
| Jun 30, 2025 | -169,939.00 |
| Mar 31, 2025 | 1.48 Mn |
| Dec 31, 2024 | 695,031.00 |
| Sep 30, 2024 | 753,537.00 |
| Jun 30, 2024 | 873,367.00 |
| Mar 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | 1.21 Mn |
| Sep 30, 2023 | 2.23 Mn |
| Jun 30, 2023 | 4.40 Mn |
| Mar 31, 2023 | 3.61 Mn |
| Dec 31, 2022 | 3.87 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2022 | 5.48 Mn |
| Mar 31, 2022 | 9.46 Mn |
| Dec 31, 2021 | 2.67 Mn |
| Sep 30, 2021 | 4.93 Mn |
| Jun 30, 2021 | 5.95 Mn |
| Mar 31, 2021 | 2.85 Mn |
Singularity Future Technology 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=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SGLY", "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=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();