Appsoft Technologies (ASFT) Non Operating Interest Expenses (2015 - 2026)
Appsoft Technologies' Non Operating Interest Expenses was $2,772 in Q2 2026, up 13.9% from $2,433 a year earlier and up 3.4% from the prior quarter.
Appsoft Technologies (ASFT) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Appsoft Technologies' Non Operating Interest Expenses was $10,599 through Jun 30, 2026, up 17.7% year-over-year; for FY2025, it came in at $9,847, up 17.9% from FY2024.
- Non Operating Interest Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $8,354 in FY2024 (+12.2%), $7,443 in FY2023 (+17.3%), $6,345 in FY2022 (+18.6%) and $5,352 in FY2021 (+21.5%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q4 2018.
- Compared with a year earlier, Non Operating Interest Expenses has increased for 17 straight quarters, with growth averaging 15.7% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2022 (growth of 578.9%); the worst was Q1 2022 (a decline of 33.3%).
- Per Business Quant data, ASFT's Non Operating Interest Expenses in the three quarters before Q2 2026 was $2,681 (Q1 2026), $2,622 (Q4 2025) and $2,524 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | - |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Appsoft Technologies | 1.12 Mn | 1.12 Mn | - | 2,772.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,772.00 |
| Mar 31, 2026 | 2,681.00 |
| Dec 31, 2025 | 2,622.00 |
| Sep 30, 2025 | 2,524.00 |
| Jun 30, 2025 | 2,433.00 |
| Mar 31, 2025 | 2,267.00 |
| Dec 31, 2024 | 2,189.00 |
| Sep 30, 2024 | 2,114.00 |
| Jun 30, 2024 | 2,067.00 |
| Mar 31, 2024 | 1,984.00 |
| Dec 31, 2023 | 1,952.00 |
| Sep 30, 2023 | 1,918.00 |
| Jun 30, 2023 | 1,863.00 |
| Mar 31, 2023 | 1,704.00 |
| Dec 31, 2022 | 1,633.00 |
| Sep 30, 2022 | 1,606.00 |
| Jun 30, 2022 | 1,575.00 |
| Mar 31, 2022 | 1,532.00 |
| Dec 31, 2021 | 1,460.00 |
| Sep 30, 2021 | 1,362.00 |
Appsoft Technologies 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=ASFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ASFT", "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=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();