Webstar Technology (WBSR) Operating Expenses (2018 - 2026)
Webstar Technology (WBSR) posted Operating Expenses of $152,746 for Q1 2026, up 269.1% from $41,378 a year earlier but down 46.4% from the prior quarter.
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Analysis
Webstar Technology (WBSR) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Webstar Technology was $607,199, up 158.9% year-over-year; for FY2025, it was $495,831, up 24.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -18.2% (FY2020 to FY2025).
- In prior years, Webstar Technology's Operating Expenses was $398,058 in FY2024 (-52.5%), $838,656 in FY2023 (-95.1%), $17.07 million in FY2022 (+549.4%) and $2.63 million in FY2021 (+93.7%).
- Quarterly Operating Expenses has run from a low of $13,170 in Q4 2024 to a high of $16.34 million in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last seven quarters, with growth averaging 42.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 446.3%; the weakest was Q2 2023, with a decline of 98.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $285,203 (Q4 2025), $102,852 (Q3 2025) and $66,398 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 54.24 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 15.90 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | 29.22 Mn |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 104.06 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | -8.70 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 230.00 Mn |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 21.49 Mn |
| 10 | Webstar Technology | 8.11 Mn | 7.85 Mn | - | 152,746.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 152,746.00 |
| Dec 31, 2025 | 285,203.00 |
| Sep 30, 2025 | 102,852.00 |
| Jun 30, 2025 | 66,398.00 |
| Mar 31, 2025 | 41,378.00 |
| Dec 31, 2024 | 13,170.00 |
| Sep 30, 2024 | 21,578.00 |
| Jun 30, 2024 | 158,369.00 |
| Mar 31, 2024 | 204,941.00 |
| Dec 31, 2023 | 191,277.00 |
| Sep 30, 2023 | 199,401.00 |
| Jun 30, 2023 | 217,690.00 |
| Mar 31, 2023 | 230,288.00 |
| Dec 31, 2022 | 200,159.00 |
| Sep 30, 2022 | 199,432.00 |
| Jun 30, 2022 | 16.34 Mn |
| Mar 31, 2022 | 329,864.00 |
| Dec 31, 2021 | 1.70 Mn |
| Sep 30, 2021 | 298,935.00 |
| Jun 30, 2021 | 316,243.00 |
API Access
Webstar Technology Operating 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=operating-expenses&ticker=WBSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WBSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();