Appsoft Technologies (ASFT) Total Liabilities (2015 - 2026)
Appsoft Technologies (ASFT) reported Total Liabilities of $609,672 for Q2 2026, up 13.7% from $536,439 a year earlier and up 3.2% from the prior quarter.
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Analysis
Appsoft Technologies (ASFT) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Appsoft Technologies posted Total Liabilities of $572,284, up 19.5% from FY2024.
- Total Liabilities has increased for nine consecutive years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $478,736 in FY2024 (+13.9%), $420,382 in FY2023 (+13.6%), $369,937 in FY2022 (+9.2%) and $338,818 in FY2021 (+17.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2015.
- Year over year, Total Liabilities has now increased in each of the last 36 quarters, with growth averaging 16.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 9.1% in Q2 2024 to 24.9% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $590,553 (Q1 2026), $572,284 (Q4 2025) and $553,463 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Appsoft Technologies | 1.12 Mn | 1.12 Mn | - | 609,672.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 609,672.00 |
| Mar 31, 2026 | 590,553.00 |
| Dec 31, 2025 | 572,284.00 |
| Sep 30, 2025 | 553,463.00 |
| Jun 30, 2025 | 536,439.00 |
| Mar 31, 2025 | 504,305.00 |
| Dec 31, 2024 | 478,736.00 |
| Sep 30, 2024 | 459,561.00 |
| Jun 30, 2024 | 449,134.00 |
| Mar 31, 2024 | 435,467.00 |
| Dec 31, 2023 | 420,382.00 |
| Sep 30, 2023 | 415,927.00 |
| Jun 30, 2023 | 411,651.00 |
| Mar 31, 2023 | 389,138.00 |
| Dec 31, 2022 | 369,937.00 |
| Sep 30, 2022 | 362,330.00 |
| Jun 30, 2022 | 355,815.00 |
| Mar 31, 2022 | 346,501.00 |
| Dec 31, 2021 | 338,818.00 |
| Sep 30, 2021 | 329,683.00 |
API Access
Appsoft Technologies Total Liabilities 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=total-liabilities&ticker=ASFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();