Appsoft Technologies (ASFT) Interest Expenses (2015 - 2026)
Appsoft Technologies (ASFT) recorded Interest Expenses of $2,772 in Q2 2026, up 13.9% from $2,433 a year earlier and up 3.4% from the prior quarter.
Powered by 
Analysis
Appsoft Technologies (ASFT) Interest Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Appsoft Technologies' Interest Expenses came in at $10,599 as of Jun 30, 2026, up 17.7% year-over-year; for FY2025, it was $9,847, up 17.9% from FY2024.
- Annual Interest Expenses has increased for six straight years, with a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $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 is the highest quarterly Interest Expenses since Q4 2018.
- On a year-over-year basis, Interest Expenses has increased for 17 consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 578.9% in Q2 2022, against a decline of 33.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2,681 (Q1 2026), $2,622 (Q4 2025) and $2,524 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | -345.42 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
Download Data
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 |
API Access
Appsoft Technologies 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=interest-expenses&ticker=ASFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();