Jingbo Technology (SVMB) Exchange Rate Effect (2022 - 2026)
Jingbo Technology (SVMB) posted Exchange Rate Effect of $2,618 for fiscal Q1 2027 (quarter ended May 31, 2026), up 216.9% from $826.00 a year earlier and up 90.0% from the prior quarter.
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Analysis
Jingbo Technology (SVMB) Exchange Rate Effect (2022 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Exchange Rate Effect at Jingbo Technology was $7,463, down 20.9% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $5,671, up 143.3% from FY2025.
- In prior fiscal years, Jingbo Technology's Exchange Rate Effect was $2,331 in FY2025, -$4,442 in FY2024, -$15,438 in FY2023 and -$5,256 in FY2022.
- The fiscal Q1 2027 figure stands as the highest quarterly Exchange Rate Effect since fiscal Q4 2025.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was $1,378 (Q4 2026), $1,867 (Q3 2026) and $1,600 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -518,000.00 |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 2,618.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2,618.00 |
| Feb 28, 2026 | 1,378.00 |
| Nov 30, 2025 | 1,867.00 |
| Aug 31, 2025 | 1,600.00 |
| May 31, 2025 | 826.00 |
| Feb 28, 2025 | 19,238.00 |
| Nov 30, 2024 | -3,728.00 |
| Aug 31, 2024 | -6,902.00 |
| May 31, 2024 | -6,277.00 |
| Nov 30, 2023 | 2,795.00 |
| Aug 31, 2023 | -7,295.00 |
| May 31, 2023 | -12,713.00 |
| Nov 30, 2022 | -6,843.00 |
| Aug 31, 2022 | -1,109.00 |
| May 31, 2022 | -7,482.00 |
API Access
Jingbo 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=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SVMB", "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=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();