Singularity Future Technology (SGLY) Total Current Liabilities (2011 - 2026)
Singularity Future Technology (SGLY) posted Total Current Liabilities of $17.56 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 144.2% from $7.19 million a year earlier and up 16.7% from the prior quarter.
Singularity Future Technology (SGLY) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Singularity Future Technology's Total Current Liabilities came in at $7.27 million, up 36.2% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior fiscal years, Singularity Future Technology's Total Current Liabilities was $5.34 million in FY2024 (+6.2%), $5.03 million in FY2023 (-80.0%), $25.21 million in FY2022 (+371.8%) and $5.34 million in FY2021 (-8.0%).
- The fiscal Q2 2026 figure stands as the highest quarterly Total Current Liabilities since fiscal Q1 2023.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last seven quarters, with growth averaging 50.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q3 2022, with growth of 715.3%; the weakest was fiscal Q4 2023, with a decline of 80.0%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $15.05 million (Q1 2026), $7.27 million (Q4 2025) and $6.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 5.61 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 3.37 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 9.13 Bn |
| 10 | Singularity Future Technology | 349,458.33 | -43.46 Mn | - | 11.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.94 Mn |
| Dec 31, 2025 | 17.56 Mn |
| Sep 30, 2025 | 15.05 Mn |
| Jun 30, 2025 | 7.27 Mn |
| Mar 31, 2025 | 6.91 Mn |
| Dec 31, 2024 | 7.19 Mn |
| Sep 30, 2024 | 6.72 Mn |
| Jun 30, 2024 | 5.34 Mn |
| Mar 31, 2024 | 4.69 Mn |
| Dec 31, 2023 | 4.62 Mn |
| Sep 30, 2023 | 4.67 Mn |
| Jun 30, 2023 | 5.03 Mn |
| Mar 31, 2023 | 10.36 Mn |
| Dec 31, 2022 | 10.69 Mn |
| Sep 30, 2022 | 20.36 Mn |
| Jun 30, 2022 | 25.21 Mn |
| Mar 31, 2022 | 45.50 Mn |
| Dec 31, 2021 | 5.41 Mn |
| Sep 30, 2021 | 5.22 Mn |
| Jun 30, 2021 | 5.34 Mn |
Singularity Future Technology Total Current 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-current-liabilities&ticker=SGLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();