UTime (FXHO) Operating Leases (2020 - 2026)
UTime's Operating Leases came in at $60.06 million for the quarter ended Mar 31, 2026, down 73.0% from $222.72 million a year earlier.
Analysis
UTime (FXHO) Operating Leases (2020 - 2026) Analysis & Trends
As of Mar 31, 2026, UTime's Operating Leases was $60,000, down 73.1% from the prior year.
- Operating Leases has declined in each of the last four years, though with a five-year compound annual growth rate of 6.9% (years ended Mar 2021 to Mar 2026).
- Going back by year, Operating Leases was $223,000 in the year ended Mar 31, 2025 (-84.3%), $1.42 million in the year ended Mar 31, 2024 (-10.5%), $1.58 million in the year ended Mar 31, 2023 (-30.9%) and $2.29 million in the year ended Mar 31, 2022.
- The five-year range for quarterly Operating Leases is $142,000 (the quarter ended Sep 30, 2025) to $222.72 million (the quarter ended Mar 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn |
| 10 | UTime | 536,558.04 | -108.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 60.06 Mn |
| Sep 30, 2025 | 142,000.00 |
| Mar 31, 2025 | 222.72 Mn |
| Sep 30, 2024 | 914,000.00 |
| Mar 31, 2024 | 1.41 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | 1.59 Mn |
| Sep 30, 2022 | 1.61 Mn |
| Mar 31, 2022 | 2.29 Mn |
| Mar 31, 2021 | 43,967.12 |
| Mar 31, 2020 | 195,587.77 |
API Access
UTime Operating Leases 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-leases&ticker=FXHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "FXHO", "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-leases&ticker=FXHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();