Senmiao Technology (VAI) Operating Expenses (2017 - 2026)
Senmiao Technology (VAI) recorded Operating Expenses of $692,472 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 38.3% from $500,829 a year earlier but down 3.4% from the prior quarter.
Senmiao Technology (VAI) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Senmiao Technology's Operating Expenses came in at $3.59 million as of Jun 30, 2026, up 34.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $3.1 million, up 21.0% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -13.0% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $2.56 million in FY2025 (-51.7%), $5.3 million in FY2024 (-30.6%), $7.63 million in FY2023 (-19.4%) and $9.47 million in FY2022 (+52.4%).
- Quarterly Operating Expenses has ranged from $500,829 in fiscal Q1 2026 to $2.71 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 2.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 121.7% in fiscal Q3 2026, against a decline of 56.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $716,957 (Q4 2026), $1.15 million (Q3 2026) and $1.03 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Senmiao Technology | 10.88 Mn | -6.51 Mn | 61,692.00 | 692,472.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 692,472.00 |
| Mar 31, 2026 | 716,957.00 |
| Dec 31, 2025 | 1.15 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 500,829.00 |
| Mar 31, 2025 | 941,581.00 |
| Dec 31, 2024 | 516,970.00 |
| Sep 30, 2024 | 712,646.00 |
| Jun 30, 2024 | 1.03 Mn |
| Mar 31, 2024 | 1.74 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 1.35 Mn |
| Jun 30, 2023 | 1.37 Mn |
| Mar 31, 2023 | 2.33 Mn |
| Dec 31, 2022 | 1.51 Mn |
| Sep 30, 2022 | 1.89 Mn |
| Jun 30, 2022 | 1.90 Mn |
| Mar 31, 2022 | 2.10 Mn |
| Dec 31, 2021 | 2.71 Mn |
| Sep 30, 2021 | 1.88 Mn |
Senmiao Technology 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=VAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VAI", "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=VAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();