Singularity Future Technology (SGLY) Total Liabilities (2011 - 2026)
Singularity Future Technology's Total Liabilities was $16.96 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 136.0% from $7.19 million a year earlier and up 17.0% from the prior quarter.
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Analysis
Singularity Future Technology (SGLY) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Total Liabilities at Singularity Future Technology came in at $5.76 million, up 5.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $5.47 million in FY2024 (-46.7%), $10.28 million in FY2023 (-66.9%), $31.06 million in FY2022 (+441.7%) and $5.73 million in FY2021 (-5.9%).
- The fiscal Q2 2026 figure marks the highest quarterly Total Liabilities since fiscal Q1 2023.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with growth averaging 30.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2022 (growth of 766.2%); the worst was fiscal Q1 2024 (a decline of 81.4%).
- Per Business Quant data, SGLY's Total Liabilities in the three fiscal quarters before Q2 2026 was $14.5 million (Q1 2026), $5.76 million (Q4 2025) and $4.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 50.54 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 28.87 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Singularity Future Technology | 349,458.33 | -43.46 Mn | - | 13.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.76 Mn |
| Dec 31, 2025 | 16.96 Mn |
| Sep 30, 2025 | 14.50 Mn |
| Jun 30, 2025 | 5.76 Mn |
| Mar 31, 2025 | 4.76 Mn |
| Dec 31, 2024 | 7.19 Mn |
| Sep 30, 2024 | 6.81 Mn |
| Jun 30, 2024 | 5.47 Mn |
| Mar 31, 2024 | 4.86 Mn |
| Dec 31, 2023 | 4.82 Mn |
| Sep 30, 2023 | 4.86 Mn |
| Jun 30, 2023 | 10.28 Mn |
| Mar 31, 2023 | 10.72 Mn |
| Dec 31, 2022 | 11.28 Mn |
| Sep 30, 2022 | 26.08 Mn |
| Jun 30, 2022 | 31.06 Mn |
| Mar 31, 2022 | 51.46 Mn |
| Dec 31, 2021 | 22.80 Mn |
| Sep 30, 2021 | 12.94 Mn |
| Jun 30, 2021 | 5.73 Mn |
API Access
Singularity Future Technology Total Liabilities 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=total-liabilities&ticker=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();