SKYX Platforms (SKYX) Non Operating Interest Expenses (2013 - 2026)
SKYX Platforms (SKYX) recorded Non Operating Interest Expenses of $1.1 million in Q1 2026, down 16.4% from $1.32 million a year earlier but up 49.2% from the prior quarter.
SKYX Platforms (SKYX) Non Operating Interest Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, SKYX Platforms' Non Operating Interest Expenses came in at $3.97 million as of Mar 31, 2026, down 11.0% year-over-year; for FY2025, it came in at $4.18 million, up 7.2% from FY2024.
- Annual Non Operating Interest Expenses has increased for four straight years, with a four-year compound annual growth rate of 65.3% (FY2021 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $3.9 million in FY2024 (+25.6%), $3.11 million in FY2023 (+427.9%), $589,009 in FY2022 (+5.1%) and $560,382 in FY2021.
- Quarterly Non Operating Interest Expenses has ranged from $52,189 in Q3 2022 to $1.32 million in Q1 2025 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses has declined for three consecutive quarters, with growth averaging 19.2% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 706.2% in Q1 2023, against a decline of 63.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $740,343 (Q4 2025), $834,162 (Q3 2025) and $1.29 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | SKYX Platforms | 153.51 Mn | 94.52 Mn | 6.63 Mn | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.10 Mn |
| Dec 31, 2025 | 740,343.00 |
| Sep 30, 2025 | 834,162.00 |
| Jun 30, 2025 | 1.29 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 926,472.00 |
| Sep 30, 2024 | 997,925.00 |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 787,854.00 |
| Dec 31, 2023 | 507,781.00 |
| Sep 30, 2023 | 662,173.00 |
| Jun 30, 2023 | 1.22 Mn |
| Mar 31, 2023 | 730,621.00 |
| Dec 31, 2022 | 364,399.00 |
| Sep 30, 2022 | 52,189.00 |
| Jun 30, 2022 | 81,918.00 |
| Mar 31, 2022 | 90,630.00 |
| Dec 31, 2021 | 135,059.00 |
| Sep 30, 2021 | 144,180.00 |
| Jun 30, 2021 | 144,171.00 |
SKYX Platforms 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=SKYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SKYX", "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=SKYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();