Appsoft Technologies (ASFT) Other Operating Expenses (2015 - 2026)
Appsoft Technologies (ASFT) recorded Other Operating Expenses of $6,160 in Q2 2026, down 14.1% from $7,170 a year earlier and down 31.2% from the prior quarter.
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Analysis
Appsoft Technologies (ASFT) Other Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Appsoft Technologies' Other Operating Expenses came in at $25,965 as of Jun 30, 2026, down 37.6% year-over-year; for FY2025, it came in at $37,260, up 6.5% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $34,975 in FY2024 (-13.4%), $40,380 in FY2023 (+222.4%), $12,525 in FY2022 (+465.5%) and $2,215 in FY2021 (-93.8%).
- Quarterly Other Operating Expenses has ranged from $605.00 in Q3 2021 to $22,980 in Q1 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for five consecutive quarters, with growth averaging 139.6% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 626.4% in Q4 2024, against a decline of 95.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $8,950 (Q1 2026), $5,920 (Q4 2025) and $4,935 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - |
| 10 | Appsoft Technologies | 1.12 Mn | 1.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14,422.00 |
| Mar 31, 2026 | 17,781.00 |
| Dec 31, 2025 | 14,924.00 |
| Sep 30, 2025 | 14,362.00 |
| Jun 30, 2025 | 24,413.00 |
| Mar 31, 2025 | 24,602.00 |
| Dec 31, 2024 | 20,554.00 |
| Sep 30, 2024 | 340.00 |
| Jun 30, 2024 | 260.00 |
| Dec 31, 2023 | -2,720.00 |
| Sep 30, 2023 | 855.00 |
| Jun 30, 2023 | 890.00 |
| Mar 31, 2021 | 8,774.00 |
| Dec 31, 2020 | 19,811.00 |
| Sep 30, 2020 | 1,093.00 |
| Jun 30, 2020 | 18,099.00 |
| Mar 31, 2020 | 1,037.00 |
| Dec 31, 2019 | 18,179.00 |
| Sep 30, 2019 | 2,210.00 |
| Jun 30, 2019 | 2,693.00 |
API Access
Appsoft Technologies Other Operating 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=other-operating-expenses&ticker=ASFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();