Webstar Technology (WBSR) Change in Accured Expenses (2018 - 2026)
Webstar Technology (WBSR) posted Change in Accured Expenses of $75,000 for Q1 2026, up 275.0% from $20,000 a year earlier but down 60.5% from the prior quarter.
Powered by 
Analysis
Webstar Technology (WBSR) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Change in Accured Expenses at Webstar Technology was $305,000, up 205.4% year-over-year; for FY2025, it came in at $250,000, up 2.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -24.7% (FY2020 to FY2025).
- In prior years, Webstar Technology's Change in Accured Expenses was $243,066 in FY2024 (-66.5%), $724,532 in FY2023 (-12.0%), $823,241 in FY2022 (-22.1%) and $1.06 million in FY2021 (+2.0%).
- Quarterly Change in Accured Expenses has run from a low of $5,000 in Q4 2024 to a high of $282,592 in Q2 2021 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last five quarters, with an average decline of 8.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2026, with growth of 275.0%; the weakest was Q4 2024, with a decline of 97.3%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $190,000 (Q4 2025), $20,001 (Q3 2025) and $19,999 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | -7.50 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | 3.18 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | -1.60 Mn |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 18.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 5.40 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | 2.60 Mn |
| 10 | Webstar Technology | 4.06 Mn | 3.80 Mn | - | 75,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 75,000.00 |
| Dec 31, 2025 | 190,000.00 |
| Sep 30, 2025 | 20,001.00 |
| Jun 30, 2025 | 19,999.00 |
| Mar 31, 2025 | 20,000.00 |
| Dec 31, 2024 | 5,000.00 |
| Jun 30, 2024 | 74,872.00 |
| Mar 31, 2024 | 163,194.00 |
| Dec 31, 2023 | 183,538.00 |
| Sep 30, 2023 | 179,737.00 |
| Jun 30, 2023 | 182,069.00 |
| Mar 31, 2023 | 179,188.00 |
| Dec 31, 2022 | 160,739.00 |
| Sep 30, 2022 | 160,737.00 |
| Jun 30, 2022 | 232,984.00 |
| Mar 31, 2022 | 268,781.00 |
| Dec 31, 2021 | 252,506.00 |
| Sep 30, 2021 | 252,507.00 |
| Jun 30, 2021 | 282,592.00 |
| Mar 31, 2021 | 268,781.00 |
API Access
Webstar 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=WBSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "WBSR", "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=WBSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();