Tianci International (CIIT) Operating Expenses (2012 - 2026)
Tianci International's Operating Expenses was $582,141 in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 43.2% from $1.02 million a year earlier but up 14.7% from the prior quarter.
Tianci International (CIIT) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tianci International's Operating Expenses was $3.34 million through Apr 30, 2026, up 93.9% year-over-year; for FY2025 (ended Jul 31, 2025), it was $3.16 million, up 256.1% from FY2024.
- Operating Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 111.9% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $886,876 in FY2024 (+160.9%), $339,909 in FY2023 (+312.0%), $82,502 in FY2022 (+30.9%) and $63,003 in FY2021 (-14.7%).
- Quarterly Operating Expenses has moved between $15,393 (fiscal Q3 2022) and $1.6 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 188.8%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2024 (growth of 973.2%); the worst was fiscal Q1 2023 (a decline of 63.6%).
- Per Business Quant data, CIIT's Operating Expenses in the three fiscal quarters before Q3 2026 was $507,434 (Q2 2026), $653,058 (Q1 2026) and $1.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Tianci International | 998,819.16 | -4.50 Mn | 697,489.00 | 582,141.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 582,141.00 |
| Jan 31, 2026 | 507,434.00 |
| Oct 31, 2025 | 653,058.00 |
| Jul 31, 2025 | 1.60 Mn |
| Apr 30, 2025 | 1.02 Mn |
| Jan 31, 2025 | 186,247.00 |
| Oct 31, 2024 | 345,581.00 |
| Jul 31, 2024 | 169,193.00 |
| Apr 30, 2024 | 226,423.00 |
| Jan 31, 2024 | 270,484.00 |
| Oct 31, 2023 | 220,776.00 |
| Jul 31, 2023 | 101,033.00 |
| Apr 30, 2023 | 197,441.00 |
| Jan 31, 2023 | 25,203.00 |
| Oct 31, 2022 | 17,171.00 |
| Jul 31, 2022 | 38,904.00 |
| Apr 30, 2022 | 15,393.00 |
| Jan 31, 2022 | 57,957.00 |
| Oct 31, 2021 | 47,146.00 |
| Jul 31, 2021 | 21,429.00 |
Tianci International Operating Expenses 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=operating-expenses&ticker=CIIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CIIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();