Addentax (ATXG) Operating Expenses (2015 - 2026)
Addentax (ATXG) recorded Operating Expenses of $1.09 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 100.0% from $545,289 a year earlier.
Addentax (ATXG) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Addentax's Operating Expenses came in at $2.67 million as of Jun 30, 2026, up 9.9% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $2.45 million, up 9.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $2.25 million in FY2024 (-2.5%), $2.3 million in FY2023 (+8.7%), $2.12 million in FY2022 (-12.4%) and $2.42 million in FY2021 (+7.6%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2016.
- On a year-over-year basis, Operating Expenses rose in four of the last seven quarters, with growth averaging 26.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 141.4% in fiscal Q4 2025, against a decline of 44.4% in fiscal Q3 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.10 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 2.34 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Addentax | 3.03 Mn | -58.12 Mn | 414,625.00 | 1.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Mn |
| Dec 31, 2025 | 363,706.00 |
| Sep 30, 2025 | 674,995.00 |
| Jun 30, 2025 | 545,289.00 |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 340,202.00 |
| Sep 30, 2024 | 512,592.00 |
| Jun 30, 2024 | 707,611.00 |
| Mar 31, 2024 | 428,685.00 |
| Dec 31, 2023 | 611,919.00 |
| Sep 30, 2023 | 707,819.00 |
| Jun 30, 2023 | 497,858.00 |
| Mar 31, 2023 | 697,956.00 |
| Dec 31, 2022 | 700,429.00 |
| Sep 30, 2022 | 495,009.00 |
| Jun 30, 2022 | 410,582.00 |
| Mar 31, 2022 | 609,436.00 |
| Dec 31, 2021 | 495,430.00 |
| Sep 30, 2021 | 508,688.00 |
| Jun 30, 2021 | 506,705.00 |
Addentax 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=operating-expenses&ticker=ATXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ATXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();