Appsoft Technologies (ASFT) Other Accumulated Expenses (2015 - 2026)
Appsoft Technologies (ASFT) reported Other Accumulated Expenses of $51,194 for Q2 2026, up 26.1% from $40,596 a year earlier and up 5.7% from the prior quarter.
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Analysis
Appsoft Technologies (ASFT) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Appsoft Technologies posted Other Accumulated Expenses of $45,741, up 27.4% from FY2024.
- Other Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 40.3% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $35,895 in FY2024 (+30.3%), $27,541 in FY2023 (+37.0%), $20,097 in FY2022 (+46.1%) and $13,753 in FY2021 (+63.7%).
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2015.
- Year over year, Other Accumulated Expenses has now increased in each of the last 26 quarters, with growth averaging 28.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Accumulated Expenses ranged from 26.1% (Q2 2026) to 70.8% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48,422 (Q1 2026), $45,741 (Q4 2025) and $43,120 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Appsoft Technologies | 1.12 Mn | 1.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51,194.00 |
| Mar 31, 2026 | 48,422.00 |
| Dec 31, 2025 | 45,741.00 |
| Sep 30, 2025 | 43,120.00 |
| Jun 30, 2025 | 40,596.00 |
| Mar 31, 2025 | 38,162.00 |
| Dec 31, 2024 | 35,895.00 |
| Sep 30, 2024 | 33,707.00 |
| Jun 30, 2024 | 31,593.00 |
| Mar 31, 2024 | 29,526.00 |
| Dec 31, 2023 | 27,541.00 |
| Sep 30, 2023 | 25,588.00 |
| Jun 30, 2023 | 23,671.00 |
| Mar 31, 2023 | 21,802.00 |
| Dec 31, 2022 | 20,097.00 |
| Sep 30, 2022 | 18,465.00 |
| Jun 30, 2022 | 16,859.00 |
| Mar 31, 2022 | 15,285.00 |
| Dec 31, 2021 | 13,753.00 |
| Sep 30, 2021 | 12,293.00 |
API Access
Appsoft Technologies Other Accumulated 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-accumulated-expenses&ticker=ASFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();