Tancheng (QSJC) Selling, General & Administrative (2019 - 2026)
Tancheng (QSJC) recorded Selling, General & Administrative of $86,168 in Q2 2026, up 5.4% from $81,760 a year earlier but down 43.3% from the prior quarter.
Tancheng (QSJC) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a TTM basis, Tancheng's Selling, General & Administrative came in at $399,809 as of Jun 30, 2026, down 1.9% year-over-year; for FY2025, it came in at $398,574, up 0.2% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 305.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $397,782 in FY2024 (-36.2%), $623,879 in FY2023 (+22.5%), $509,189 in FY2022 and $22,934 in FY2021.
- Quarterly Selling, General & Administrative has ranged from $11,400 in Q3 2021 to $397,514 in Q4 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last eight quarters, with an average decline of 6.6%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 165.6% in Q3 2023, against a decline of 75.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $151,933 (Q1 2026), $83,463 (Q4 2025) and $78,245 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Tancheng | 744,863.51 | 435,098.51 | - | 86,168.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86,168.00 |
| Mar 31, 2026 | 151,933.00 |
| Dec 31, 2025 | 83,463.00 |
| Sep 30, 2025 | 78,245.00 |
| Jun 30, 2025 | 81,760.00 |
| Mar 31, 2025 | 155,106.00 |
| Dec 31, 2024 | 83,131.00 |
| Sep 30, 2024 | 87,558.00 |
| Jun 30, 2024 | 84,545.00 |
| Mar 31, 2024 | 142,751.00 |
| Dec 31, 2023 | 97,804.00 |
| Sep 30, 2023 | 138,035.00 |
| Jun 30, 2023 | 121,335.00 |
| Mar 31, 2023 | 266,705.00 |
| Dec 31, 2022 | 397,514.00 |
| Sep 30, 2022 | 51,967.00 |
| Mar 31, 2022 | 17,717.00 |
| Jan 31, 2022 | 11,438.00 |
| Oct 31, 2021 | 11,423.00 |
| Jul 31, 2021 | 22,800.00 |
Tancheng Selling, General & Administrative 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=selling-general-and-administrative&ticker=QSJC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=QSJC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();