Jingbo Technology (SVMB) Change in Accured Expenses (2015 - 2026)
Jingbo Technology (SVMB) reported Change in Accured Expenses of $120,723 for fiscal Q1 2027 (quarter ended May 31, 2026), down 68.5% from $383,676 a year earlier.
Jingbo Technology (SVMB) Change in Accured Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Jingbo Technology's Change in Accured Expenses came in at -$721,964; for FY2026 (ended Feb 28, 2026), it came in at -$459,011.
- By fiscal year, Change in Accured Expenses came in at $4.32 million in FY2025 (+188.0%), $1.5 million in FY2024, $1.07 million in FY2023 and -$7.39 million in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$7.49 million in fiscal Q4 2022 and a high of $5.42 million in fiscal Q2 2024.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -$1.86 million (Q4 2026), $450,033 (Q3 2026) and $571,816 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 120,723.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 120,723.00 |
| Feb 28, 2026 | -1.86 Mn |
| Nov 30, 2025 | 450,033.00 |
| Aug 31, 2025 | 571,816.00 |
| May 31, 2025 | 383,676.00 |
| Feb 28, 2025 | 767,227.00 |
| Nov 30, 2024 | 958,087.00 |
| Aug 31, 2024 | 1.73 Mn |
| May 31, 2024 | 866,188.00 |
| Nov 30, 2023 | 1.07 Mn |
| Aug 31, 2023 | 2.83 Mn |
| May 31, 2023 | -114,961.00 |
| Nov 30, 2022 | 2.09 Mn |
| Aug 31, 2022 | 114,597.00 |
| May 31, 2022 | -7.49 Mn |
| Feb 28, 2022 | 106,430.00 |
| Nov 30, 2021 | -16,884.00 |
| Aug 31, 2021 | 6,884.00 |
| May 31, 2021 | 6,530.00 |
| Feb 28, 2021 | -2,489.00 |
Jingbo Technology Change in Accured Expenses 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=change-in-accured-expenses&ticker=SVMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();