Singularity Future Technology (SGLY) Net Margin (2010 - 2025)
Singularity Future Technology (SGLY) recorded Net Margin of -451.24% in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 382.17 percentage points from -69.06% a year earlier but up 2625.89 percentage points from the prior quarter.
Singularity Future Technology (SGLY) Net Margin (2010 - 2025) Analysis & Trends
On a TTM basis, Singularity Future Technology's Net Margin came in at -987.36% as of Dec 31, 2025, down 854.48 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it came in at -215.78%, down 52.91 percentage points from FY2024.
- Annual Net Margin has a five-year change of +57.35 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Net Margin came in at -162.86% in FY2024 (+343.82 pp), -506.68% in FY2023 (+218.63 pp), -725.31% in FY2022 (-593.82 pp) and -131.49% in FY2021 (+141.64 pp).
- Quarterly Net Margin has ranged from -3077.13% in fiscal Q1 2026 to -69.06% in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Net Margin has declined for four consecutive quarters, with an average year-over-year change of -231.26 percentage points over the last eight quarters.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 1356.30 percentage points in fiscal Q3 2024, against a drop of 2885.31 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -3077.13% (Q1 2026), -200.90% (Q4 2025) and -460.08% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 29.04% |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 25.46% |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 24.59% |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 2.65% |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 21.18% |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 6.39% |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 8.12% |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 22.56% |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 12.26% |
| 10 | Singularity Future Technology | 349,458.33 | -43.46 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -451.24% |
| Sep 30, 2025 | -3,077.13% |
| Jun 30, 2025 | -200.90% |
| Mar 31, 2025 | -460.08% |
| Dec 31, 2024 | -69.06% |
| Sep 30, 2024 | -191.82% |
| Jun 30, 2024 | -90.99% |
| Mar 31, 2024 | -212.68% |
| Dec 31, 2023 | -115.55% |
| Sep 30, 2023 | -255.62% |
| Jun 30, 2023 | -399.11% |
| Mar 31, 2023 | -1,568.98% |
| Dec 31, 2022 | -250.35% |
| Sep 30, 2022 | -252.57% |
| Jun 30, 2022 | -472.32% |
| Mar 31, 2022 | -969.65% |
| Dec 31, 2021 | -846.08% |
| Sep 30, 2021 | -639.38% |
| Jun 30, 2021 | -120.01% |
| Mar 31, 2021 | -369.17% |
Singularity Future Technology Net Margin 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=net-margin&ticker=SGLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();