Tancheng (QSJC) EBITDA (2022 - 2026)
Tancheng (QSJC) posted EBITDA of -$83,839 for Q2 2026, compared with -$78,510 a year earlier.
Analysis
Tancheng (QSJC) EBITDA (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Tancheng was -$385,336; for FY2025, it came in at -$344,466.
- In prior years, Tancheng's EBITDA was -$261,735 in FY2024, -$272,603 in FY2023 and -$1.01 million in FY2022.
- Quarterly EBITDA has run from a low of -$934,775 in Q4 2022 to a high of $29,404 in Q3 2023 over five years.
- According to Business Quant data, EBITDA for the three prior quarters was -$151,167 (Q1 2026), -$85,348 (Q4 2025) and -$64,982 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -25.29 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 244.22 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Tancheng | 744,863.51 | 435,098.51 | - | -83,839.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -83,839.00 |
| Mar 31, 2026 | -151,167.00 |
| Dec 31, 2025 | -85,348.00 |
| Sep 30, 2025 | -64,982.00 |
| Jun 30, 2025 | -78,510.00 |
| Mar 31, 2025 | -115,626.00 |
| Dec 31, 2024 | -26,717.00 |
| Sep 30, 2024 | -47,299.00 |
| Jun 30, 2024 | -86,525.00 |
| Mar 31, 2024 | -101,194.00 |
| Dec 31, 2023 | -57,582.00 |
| Sep 30, 2023 | 29,404.00 |
| Jun 30, 2023 | -7,061.00 |
| Mar 31, 2023 | -237,364.00 |
| Dec 31, 2022 | -934,775.00 |
API Access
Tancheng EBITDA 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=ebitda&ticker=QSJC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=QSJC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();