Singularity Future Technology (SGLY) Exchange Rate Effect (2010 - 2025)
Singularity Future Technology (SGLY) posted Exchange Rate Effect of $688.00 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 99.4% from $117,510 a year earlier but up 262.1% from the prior quarter.
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Analysis
Singularity Future Technology (SGLY) Exchange Rate Effect (2010 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Exchange Rate Effect at Singularity Future Technology was -$129,368; for FY2025 (ended Jun 30, 2025), it came in at $1,258, down 99.4% from FY2024.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of -72.6% (FY2020 to FY2025).
- In prior fiscal years, Singularity Future Technology's Exchange Rate Effect was $222,438 in FY2024, -$448,593 in FY2023, -$147,389 in FY2022 and $817,552 in FY2021 (unchanged).
- Quarterly Exchange Rate Effect has run from a low of -$939,002 in fiscal Q2 2022 to a high of $829,161 in fiscal Q3 2022 over five years.
- On a year-over-year basis, Exchange Rate Effect increased in 1 of the last four quarters, with an average decline of 33.7%.
- The strongest year-over-year quarter for Exchange Rate Effect in the past five years was fiscal Q3 2022, with growth of 920.8%; the weakest was fiscal Q2 2026, with a decline of 99.4%.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was $190.00 (Q1 2026), $608,800 (Q4 2025) and -$739,046 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -2.79 Mn |
| 10 | Singularity Future Technology | 349,458.33 | -43.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 688.00 |
| Sep 30, 2025 | 190.00 |
| Jun 30, 2025 | 608,800.00 |
| Mar 31, 2025 | -739,046.00 |
| Dec 31, 2024 | 117,510.00 |
| Sep 30, 2024 | 13,994.00 |
| Jun 30, 2024 | -119,003.00 |
| Mar 31, 2024 | 260,029.00 |
| Dec 31, 2023 | 63,493.00 |
| Sep 30, 2023 | 17,919.00 |
| Jun 30, 2023 | 71,461.00 |
| Mar 31, 2023 | -465,965.00 |
| Dec 31, 2022 | 76,891.00 |
| Sep 30, 2022 | -130,980.00 |
| Jun 30, 2022 | -582,289.00 |
| Mar 31, 2022 | 829,161.00 |
| Dec 31, 2021 | -939,002.00 |
| Sep 30, 2021 | 544,741.00 |
| Jun 30, 2021 | 166,317.00 |
| Mar 31, 2021 | 81,229.00 |
API Access
Singularity Future Technology Exchange Rate Effect 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=exchange-rate-effect&ticker=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();