Singularity Future Technology (SGLY) Assets (2011 - 2026)
Singularity Future Technology's Assets came in at $21.62 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 13.1% from $19.12 million a year earlier and up 22.9% from the prior quarter.
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Analysis
Singularity Future Technology (SGLY) Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Singularity Future Technology's Assets was $18.23 million, down 2.7% from FY2024.
- Assets has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- Going back by fiscal year, Assets was $18.73 million in FY2024 (-2.6%), $19.24 million in FY2023 (-70.3%), $64.85 million in FY2022 (+34.7%) and $48.16 million in FY2021 (+739.3%).
- The fiscal Q2 2026 figure represents the highest quarterly Assets since fiscal Q3 2023.
- Year-over-year, Assets increased in three of the last eight quarters, with growth averaging 15.8%.
- The fastest year-over-year change in Assets over five years came in fiscal Q4 2021 (growth of 739.3%), and the weakest in fiscal Q1 2024 (a decline of 79.8%).
- Business Quant data shows SGLY's Assets at $17.59 million (Q1 2026), $18.23 million (Q4 2025) and $18.39 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 71.21 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 44.73 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 64.54 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 71.27 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 45.12 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 98.94 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 86.32 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 5.74 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 21.11 Bn |
| 10 | Singularity Future Technology | 349,458.33 | -43.46 Mn | - | 22.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.47 Mn |
| Dec 31, 2025 | 21.62 Mn |
| Sep 30, 2025 | 17.59 Mn |
| Jun 30, 2025 | 18.23 Mn |
| Mar 31, 2025 | 18.39 Mn |
| Dec 31, 2024 | 19.12 Mn |
| Sep 30, 2024 | 18.93 Mn |
| Jun 30, 2024 | 18.73 Mn |
| Mar 31, 2024 | 19.17 Mn |
| Dec 31, 2023 | 10.27 Mn |
| Sep 30, 2023 | 11.55 Mn |
| Jun 30, 2023 | 19.24 Mn |
| Mar 31, 2023 | 23.99 Mn |
| Dec 31, 2022 | 38.82 Mn |
| Sep 30, 2022 | 57.32 Mn |
| Jun 30, 2022 | 64.85 Mn |
| Mar 31, 2022 | 89.43 Mn |
| Dec 31, 2021 | 65.26 Mn |
| Sep 30, 2021 | 53.69 Mn |
| Jun 30, 2021 | 48.16 Mn |
API Access
Singularity Future Technology Assets 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=assets&ticker=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();