Webstar Technology (WBSR) Non Operating Interest Expenses (2019 - 2026)
Webstar Technology's Non Operating Interest Expenses was $679,502 in Q1 2026, compared with $20,000 a year earlier and up 83.6% from the prior quarter.
Webstar Technology (WBSR) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Webstar Technology's Non Operating Interest Expenses was $1.1 million through Mar 31, 2026; for FY2025, it came in at $440,000, up 450.0% from FY2024.
- Non Operating Interest Expenses has now increased for three consecutive years, with a three-year compound annual growth rate of 105.7% (FY2022 to FY2025).
- In earlier years, Non Operating Interest Expenses was $80,000 in FY2024 (+5.1%), $76,144 in FY2023 (+50.6%) and $50,556 in FY2022.
- The Q1 2026 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q2 2019.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last six quarters, with growth averaging 15.2%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2023 (growth of 116.8%); the worst was Q4 2023 (a decline of 9.2%).
- Per Business Quant data, WBSR's Non Operating Interest Expenses in the three quarters before Q1 2026 was $370,051 (Q4 2025), $29,949 (Q3 2025) and $20,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.22 Bn | 22.04 Bn | - | 973,000.00 |
| 2 | Eason Technology | 6.48 Bn | 6.48 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.55 Bn | 65.71 Mn | - |
| 4 | Millrose Properties | 3.89 Bn | 3.89 Bn | - | 40.01 Mn |
| 5 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn | 6.88 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.82 Bn | 2.82 Bn | - | -17.50 Mn |
| 7 | Opendoor Technologies | 2.32 Bn | -1.49 Bn | 86.00 Mn | 29.00 Mn |
| 8 | Forestar | 1.33 Bn | -21.59 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 677.43 Mn | 706.20 Mn | -23.72 Mn | - |
| 10 | Webstar Technology | 8.11 Mn | 7.85 Mn | - | 679,502.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 679,502.00 |
| Dec 31, 2025 | 370,051.00 |
| Sep 30, 2025 | 29,949.00 |
| Jun 30, 2025 | 20,000.00 |
| Mar 31, 2025 | 20,000.00 |
| Dec 31, 2024 | 20,000.00 |
| Sep 30, 2024 | 20,000.00 |
| Jun 30, 2024 | 20,000.00 |
| Mar 31, 2024 | 20,000.00 |
| Dec 31, 2023 | 19,999.00 |
| Sep 30, 2023 | 20,000.00 |
| Jun 30, 2023 | 14,125.00 |
| Mar 31, 2023 | 22,020.00 |
| Dec 31, 2022 | 22,020.00 |
| Sep 30, 2022 | 22,020.00 |
| Jun 30, 2022 | 6,516.00 |
| Dec 31, 2019 | 15,050.00 |
| Sep 30, 2019 | 2,813.00 |
| Jun 30, 2019 | 3,021.00 |
Webstar Technology Non Operating Interest 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=non-operating-interest-expenses&ticker=WBSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=WBSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();