Addentax (ATXG) Accumulated Expenses (2017 - 2026)
Addentax (ATXG) reported Accumulated Expenses of $1.14 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 46.4% from $2.13 million a year earlier but up 170.5% from the prior quarter.
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Analysis
Addentax (ATXG) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Addentax posted Accumulated Expenses of $421,115, down 77.3% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of -9.2% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $1.86 million in FY2025 (+35.3%), $1.37 million in FY2024 (+126.2%), $606,843 in FY2023 (-58.0%) and $1.45 million in FY2022 (+112.0%).
- Five-year quarterly Accumulated Expenses spans a low of $267,278 in fiscal Q2 2026 and a high of $2.76 million in fiscal Q3 2023.
- Year over year, Accumulated Expenses has now declined in each of the last four quarters, with an average decline of 26.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2023 (growth of 254.7%); the low point was fiscal Q1 2024 (a decline of 78.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $421,115 (Q4 2026), $280,814 (Q3 2026) and $267,278 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Addentax | 2.71 Mn | -58.43 Mn | 414,625.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Mn |
| Mar 31, 2026 | 421,115.00 |
| Dec 31, 2025 | 280,814.00 |
| Sep 30, 2025 | 267,278.00 |
| Jun 30, 2025 | 2.13 Mn |
| Mar 31, 2025 | 1.86 Mn |
| Dec 31, 2024 | 1.15 Mn |
| Sep 30, 2024 | 417,273.00 |
| Jun 30, 2024 | 1.31 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 1.19 Mn |
| Jun 30, 2023 | 462,469.00 |
| Mar 31, 2023 | 606,843.00 |
| Dec 31, 2022 | 2.76 Mn |
| Sep 30, 2022 | 2.49 Mn |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 1.45 Mn |
| Dec 31, 2021 | 778,260.00 |
| Sep 30, 2021 | 726,366.00 |
API Access
Addentax 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=accumulated-expenses&ticker=ATXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ATXG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ATXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();