Tianci International (CIIT) Shares Outstanding (2012 - 2026)
Tianci International (CIIT) reported Weighted Average Shares Outstanding of 421,558 for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 92.2% from 219,286 a year earlier and up 16.5% from the prior quarter.
Tianci International (CIIT) Shares Outstanding (2012 - 2026) Analysis & Trends
Dating back to fiscal Q1 2013, Tianci International's Weighted Average Shares Outstanding record includes 56 quarters.
- Weighted Average Shares Outstanding has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 64.2% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding came in at 219,286 in FY2025 (+44.5%), 151,708 in FY2024 (+216.5%), 47,933 in FY2023 (+36.9%) and 35,002 in FY2022 (-0.8%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to fiscal Q1 2013.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 14 quarters, with growth averaging 68.6% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was fiscal Q3 2024 (growth of 234.6%); the low point was fiscal Q1 2022 (a decline of 3.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 361,883 (Q3 2026), 347,490 (Q2 2026) and 237,311 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 175.38 Bn | 167.63 Bn | - | 593.70 Mn |
| 2 | United Parcel Service | 94.29 Bn | 71.11 Bn | - | 851.00 Mn |
| 3 | Csx | 92.06 Bn | 87.28 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 82.81 Bn | 81.84 Bn | - | 886.40 Mn |
| 5 | Fedex | 75.55 Bn | 41.75 Bn | - | 237.00 Mn |
| 6 | Norfolk Southern | 73.06 Bn | 67.52 Bn | - | 224.60 Mn |
| 7 | Delta Air Lines | 59.79 Bn | 41.98 Bn | - | 655.00 Mn |
| 8 | United Airlines Holdings | 39.16 Bn | -18.54 Bn | - | 324.90 Mn |
| 9 | Old Dominion Freight Line | 35.17 Bn | 34.01 Bn | - | 207.09 Mn |
| 10 | Tianci International | 990,661.26 | -6.57 Mn | -114,174.00 | 421,558.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 421,558.00 |
| Apr 30, 2026 | 361,883.00 |
| Jan 31, 2026 | 347,490.00 |
| Oct 31, 2025 | 237,311.00 |
| Jul 31, 2025 | 219,286.00 |
| Apr 30, 2025 | 215,025.00 |
| Jan 31, 2025 | 212,311.00 |
| Oct 31, 2024 | 212,311.00 |
| Jul 31, 2024 | 151,708.00 |
| Apr 30, 2024 | 211,233.00 |
| Jan 31, 2024 | 97,192.00 |
| Oct 31, 2023 | 85,478.00 |
| Jul 31, 2023 | 47,933.00 |
| Apr 30, 2023 | 63,131.00 |
| Jan 31, 2023 | 35,002.00 |
| Oct 31, 2022 | 35,002.00 |
| Jul 31, 2022 | 35,002.00 |
| Apr 30, 2022 | 35,002.00 |
| Jan 31, 2022 | 35,002.00 |
| Oct 31, 2021 | 35,002.00 |
Tianci International Shares Outstanding 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=shares-outstanding&ticker=CIIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CIIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();