Tianci International (CIIT) Return on Sales [ROS] (2015 - 2026)
Tianci International (CIIT) recorded Return on Sales [ROS] of 2.68% in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 52.28 percentage points from -49.60% a year earlier and up 13.41 percentage points from the prior quarter.
Tianci International (CIIT) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a TTM basis, Tianci International's Return on Sales [ROS] came in at -14.62% as of Apr 30, 2026, down 2.77 percentage points year-over-year; for FY2025 (ended Jul 31, 2025), it was -29.17%, down 31.12 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of -54.65 percentage points (FY2022 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 1.95% in FY2024 (+77.99 pp), -76.04% in FY2023 (-101.52 pp) and 25.48% in FY2022.
- The fiscal Q3 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -7.22 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 219.07 percentage points in fiscal Q3 2024, against a drop of 69.53 percentage points in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -10.74% (Q2 2026), -7.04% (Q1 2026) and -66.74% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 40.25% |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 4.07% |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 32.44% |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 6.20% |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 29.94% |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 13.12% |
| 10 | Tianci International | 959,011.18 | -4.54 Mn | 697,489.00 | 2.68% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 2.68% |
| Jan 31, 2026 | -10.74% |
| Oct 31, 2025 | -7.04% |
| Jul 31, 2025 | -66.74% |
| Apr 30, 2025 | -49.60% |
| Jan 31, 2025 | -5.11% |
| Oct 31, 2024 | -3.93% |
| Jul 31, 2024 | 2.78% |
| Apr 30, 2024 | 0.94% |
| Jan 31, 2024 | 2.37% |
| Oct 31, 2023 | 0.98% |
| Jul 31, 2023 | -28.34% |
| Apr 30, 2023 | -218.12% |
| Jan 31, 2023 | -5.34% |
| Oct 31, 2022 | -1.09% |
| Jul 31, 2022 | 33.19% |
| Apr 30, 2017 | -1,298.33% |
| Jan 31, 2017 | -1,403.74% |
| Oct 31, 2016 | -1,928.33% |
| Oct 31, 2015 | -827.02% |
Tianci International Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=CIIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CIIT", "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-sales-%5Bros%5D&ticker=CIIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();