Singularity Future Technology (SGLY) Depreciation and Depletion (2016 - 2023)
Singularity Future Technology's Depreciation and Depletion came in at -$32,950 for fiscal Q3 2023 (quarter ended Mar 31, 2023), compared with $150,118 a year earlier.
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Analysis
Singularity Future Technology (SGLY) Depreciation and Depletion (2016 - 2023) Analysis & Trends
Over the trailing twelve months to Mar 31, 2023, Singularity Future Technology reported Depreciation and Depletion of $666,640, down 21.8% year-over-year; for FY2022 (ended Jun 30, 2022), it was $410,552, down 50.3% from FY2021.
- Going back by fiscal year, Depreciation and Depletion was $825,731 in FY2021.
- The fiscal Q3 2023 figure represents the lowest quarterly Depreciation and Depletion in data going back to fiscal Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 638.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 358.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Singularity Future Technology | 331,304.67 | -43.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -32,950.00 |
| Jun 30, 2022 | -18,083.00 |
| Mar 31, 2022 | 150,118.00 |
| Jun 30, 2021 | 567,555.00 |
| Mar 31, 2021 | 119,437.00 |
| Mar 31, 2018 | 15,827.00 |
| Dec 31, 2017 | 13,261.00 |
| Mar 31, 2017 | 11,025.00 |
| Dec 31, 2016 | 12,065.00 |
API Access
Singularity Future Technology Depreciation and Depletion 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=depreciation-and-depletion&ticker=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();