Tancheng (QSJC) Return on Assets [ROA] (2019 - 2026)
Tancheng (QSJC) recorded Return on Assets [ROA] of -23.31% in Q2 2026, down 3.86 percentage points from -19.44% a year earlier but up 2.96 percentage points from the prior quarter.
Tancheng (QSJC) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2025, Tancheng reported Return on Assets [ROA] of -24.00%, down 12.64 percentage points from FY2024.
- Annual Return on Assets [ROA] has a four-year change of -5604.49 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -11.36% in FY2024 (-1.64 pp), -9.71% in FY2023 (+71.59 pp), -81.30% in FY2022 and 5580.49% in FY2021.
- Quarterly Return on Assets [ROA] has ranged from -601.73% in Q3 2021 to 7960.38% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has declined for three consecutive quarters, with an average year-over-year change of -5.03 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 8582.80 percentage points in Q2 2022, against a drop of 14.89 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -26.26% (Q1 2026), -24.42% (Q4 2025) and -20.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 8.24% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 23.22% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 12.77% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 16.67% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 9.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 0.77% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 6.20% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 13.64% |
| 10 | Tancheng | 744,863.51 | 435,098.51 | - | -23.31% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.31% |
| Mar 31, 2026 | -26.26% |
| Dec 31, 2025 | -24.42% |
| Sep 30, 2025 | -20.46% |
| Jun 30, 2025 | -19.44% |
| Mar 31, 2025 | -19.70% |
| Dec 31, 2024 | -17.95% |
| Sep 30, 2024 | -20.82% |
| Jun 30, 2024 | -10.55% |
| Mar 31, 2024 | -4.81% |
| Dec 31, 2023 | -8.30% |
| Sep 30, 2023 | -30.56% |
| Jun 30, 2023 | -32.98% |
| Mar 31, 2023 | -41.56% |
| Jan 31, 2022 | 7,960.38% |
| Oct 31, 2021 | 3,033.76% |
| Jul 31, 2021 | 4,315.06% |
| Apr 30, 2021 | -601.73% |
| Jan 31, 2021 | -622.42% |
| Oct 31, 2020 | -463.63% |
Tancheng Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=QSJC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=QSJC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();