GlobalTech (GLTK) Non Operating Interest Expenses (2022 - 2025)
GlobalTech's Non Operating Interest Expenses was $282.00 in Q1 2025, down 42.8% from $493.00 a year earlier.
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Analysis
GlobalTech (GLTK) Non Operating Interest Expenses (2022 - 2025) Analysis & Trends
On a trailing twelve-month basis, GlobalTech's Non Operating Interest Expenses was $1.24 million through Mar 31, 2025, down 28.0% year-over-year; for FY2023, it came in at $2.15 million, up 18.3% from FY2022.
- In earlier years, Non Operating Interest Expenses was $1.82 million in FY2022.
- The Q1 2025 figure marks the lowest quarterly Non Operating Interest Expenses in data going back to Q1 2022.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last five quarters, with growth averaging 124.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 152.16 Bn | 27.03 Bn | 1.99 Bn |
| 2 | T-Mobile US | 170.67 Bn | 155.42 Bn | 14.76 Bn | - |
| 3 | At&T | 153.32 Bn | 110.77 Bn | 26.22 Bn | 1.98 Bn |
| 4 | Grupo Televisa, S.A.B | 148.71 Bn | 141.01 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 80.85 Bn | 46.81 Bn | - | 962.00 Mn |
| 6 | Vodafone Group Public | 39.22 Bn | 12.89 Bn | - | - |
| 7 | Chunghwa Telecom | 37.80 Bn | 30.30 Bn | 728.80 Mn | -3.33 Mn |
| 8 | EchoStar | 24.89 Bn | 16.03 Bn | 1.65 Bn | - |
| 9 | Telefonica Brasil | 20.92 Bn | 14.94 Bn | 1.42 Bn | -141.00 Mn |
| 10 | GlobalTech | 760.56 Mn | 796.12 Mn | 3.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 282.00 |
| Mar 31, 2024 | 493.00 |
| Dec 31, 2023 | 783,126.00 |
| Sep 30, 2023 | 461,078.00 |
| Jun 30, 2023 | 484,379.00 |
| Mar 31, 2023 | 425,095.00 |
| Dec 31, 2022 | 126,348.00 |
| Sep 30, 2022 | 119,649.00 |
| Jun 30, 2022 | 828,380.00 |
| Mar 31, 2022 | 746,229.00 |
API Access
GlobalTech 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=GLTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GLTK", "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=GLTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();