Singularity Future Technology (SGLY) Cash & Equivalents (2010 - 2026)
Singularity Future Technology (SGLY) posted Cash & Equivalents of $57,275 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 99.6% from $14.53 million a year earlier.
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Analysis
Singularity Future Technology (SGLY) Cash & Equivalents (2010 - 2026) Analysis & Trends
Since fiscal Q1 2011, Singularity Future Technology has reported Cash & Equivalents for 63 quarters.
- Annual Cash & Equivalents has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -73.6% (FY2021 to FY2026).
- In prior fiscal years, Singularity Future Technology's Cash & Equivalents was $14.53 million in FY2025 (-0.7%), $14.64 million in FY2024 (-15.8%), $17.39 million in FY2023 (-68.9%) and $55.83 million in FY2022 (+24.5%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- On a year-over-year basis, Cash & Equivalents increased in three of the last seven quarters, with growth averaging 47.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q2 2025, with growth of 383.4%; the weakest was fiscal Q4 2026, with a decline of 99.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 175.93 Bn | 168.18 Bn | - | 2.21 Bn |
| 2 | United Parcel Service | 94.28 Bn | 71.10 Bn | - | 6.84 Bn |
| 3 | Csx | 92.36 Bn | 87.58 Bn | - | 1.22 Bn |
| 4 | Canadian Pacific Kansas City | 83.27 Bn | 82.30 Bn | - | 281.16 Mn |
| 5 | Fedex | 75.51 Bn | 41.70 Bn | - | 13.06 Bn |
| 6 | Norfolk Southern | 73.21 Bn | 67.67 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 59.59 Bn | 41.78 Bn | - | 3.79 Bn |
| 8 | United Airlines Holdings | 38.87 Bn | -18.83 Bn | - | 6.65 Bn |
| 9 | Old Dominion Freight Line | 35.35 Bn | 34.19 Bn | - | 466.22 Mn |
| 10 | Singularity Future Technology | 192,837.46 | -28.12 Mn | 15,175.00 | 57,275.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57,275.00 |
| Dec 31, 2025 | 10.99 Mn |
| Sep 30, 2025 | 17.13 Mn |
| Jun 30, 2025 | 14.53 Mn |
| Mar 31, 2025 | 14.87 Mn |
| Dec 31, 2024 | 15.25 Mn |
| Sep 30, 2024 | 17.74 Mn |
| Jun 30, 2024 | 14.64 Mn |
| Mar 31, 2024 | 14.67 Mn |
| Dec 31, 2023 | 3.15 Mn |
| Sep 30, 2023 | 10.05 Mn |
| Jun 30, 2023 | 17.39 Mn |
| Mar 31, 2023 | 21.61 Mn |
| Dec 31, 2022 | 36.07 Mn |
| Sep 30, 2022 | 52.46 Mn |
| Jun 30, 2022 | 55.83 Mn |
| Mar 31, 2022 | 60.35 Mn |
| Dec 31, 2021 | 51.40 Mn |
| Sep 30, 2021 | 42.95 Mn |
| Jun 30, 2021 | 44.84 Mn |
API Access
Singularity Future Technology Cash & Equivalents 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=cash-and-equivalents&ticker=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();