Universal Safety Products (UUU) Operating Expenses (2010 - 2026)
Universal Safety Products' Operating Expenses came in at $744,958 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 33.1% from $1.11 million a year earlier and down 18.4% from the prior quarter.
Universal Safety Products (UUU) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Universal Safety Products reported Operating Expenses of $4.87 million, down 15.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $5.23 million, down 12.8% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $6 million in FY2025 (+4.7%), $5.74 million in FY2024 (+6.7%), $5.38 million in FY2023 (-9.8%) and $5.96 million in FY2022 (+8.3%).
- The fiscal Q1 2027 figure represents the lowest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 7.3%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2025 (growth of 34.4%), and the weakest in fiscal Q4 2026 (a decline of 44.2%).
- Business Quant data shows UUU's Operating Expenses at $912,779 (Q4 2026), $1.9 million (Q3 2026) and $1.31 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Universal Safety Products | 15.60 Mn | -1.11 Mn | 9,131.00 | 744,958.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 744,958.00 |
| Mar 31, 2026 | 912,779.00 |
| Dec 31, 2025 | 1.90 Mn |
| Sep 30, 2025 | 1.31 Mn |
| Jun 30, 2025 | 1.11 Mn |
| Mar 31, 2025 | 1.64 Mn |
| Dec 31, 2024 | 1.76 Mn |
| Sep 30, 2024 | 1.21 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 1.67 Mn |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | 1.33 Mn |
| Jun 30, 2023 | 1.42 Mn |
| Mar 31, 2023 | 1.33 Mn |
| Dec 31, 2022 | 1.28 Mn |
| Sep 30, 2022 | 1.29 Mn |
| Jun 30, 2022 | 1.47 Mn |
| Mar 31, 2022 | 1.61 Mn |
| Dec 31, 2021 | 1.67 Mn |
| Sep 30, 2021 | 1.45 Mn |
Universal Safety Products 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=UUU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UUU", "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=UUU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();