Tancheng (QSJC) Operating Expenses (2018 - 2026)
Tancheng's Operating Expenses came in at $90,907 for Q2 2026, up 2.6% from $88,596 a year earlier but down 42.5% from the prior quarter.
Tancheng (QSJC) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tancheng reported Operating Expenses of $424,557, down 2.4% year-over-year; for FY2025, it was $425,881, up 0.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 97.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $425,427 in FY2024 (-34.7%), $651,593 in FY2023 (-39.9%), $1.08 million in FY2022 and $46,053 in FY2021 (+227.2%).
- The five-year range for quarterly Operating Expenses is $13,614 (Q4 2021) to $955,460 (Q4 2022).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 6.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 354.6%), and the weakest in Q4 2023 (a decline of 89.1%).
- Business Quant data shows QSJC's Operating Expenses at $158,114 (Q1 2026), $90,412 (Q4 2025) and $85,124 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Tancheng | 744,863.51 | 435,098.51 | - | 90,907.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90,907.00 |
| Mar 31, 2026 | 158,114.00 |
| Dec 31, 2025 | 90,412.00 |
| Sep 30, 2025 | 85,124.00 |
| Jun 30, 2025 | 88,596.00 |
| Mar 31, 2025 | 161,749.00 |
| Dec 31, 2024 | 90,095.00 |
| Sep 30, 2024 | 94,653.00 |
| Jun 30, 2024 | 91,309.00 |
| Mar 31, 2024 | 149,573.00 |
| Dec 31, 2023 | 104,558.00 |
| Sep 30, 2023 | 144,967.00 |
| Jun 30, 2023 | 128,291.00 |
| Mar 31, 2023 | 273,777.00 |
| Dec 31, 2022 | 955,460.00 |
| Sep 30, 2022 | 53,960.00 |
| Jul 31, 2022 | 72.00 |
| Mar 31, 2022 | 18,835.00 |
| Jan 31, 2022 | 13,909.00 |
| Oct 31, 2021 | 20,140.00 |
Tancheng 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=QSJC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QSJC", "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=QSJC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();