Star Equity Holdings (STRR) Operating Expenses (2010 - 2026)
Star Equity Holdings (STRR) reported Operating Expenses of $24.17 million for Q2 2026, up 28.2% from $18.85 million a year earlier but down 1.6% from the prior quarter.
Star Equity Holdings (STRR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Star Equity Holdings' Operating Expenses came in at $95.32 million, up 29.2% year-over-year; for FY2025, it was $83.56 million, up 13.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $73.96 million in FY2024 (-53.8%), $159.96 million in FY2023 (-16.5%), $191.58 million in FY2022 (+16.2%) and $164.81 million in FY2021 (+58.3%).
- Five-year quarterly Operating Expenses spans a low of $17.73 million in Q4 2024 and a high of $52.84 million in Q2 2022.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with an average decline of 10.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 72.4%); the low point was Q1 2025 (a decline of 50.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.57 million (Q1 2026), $24.32 million (Q4 2025) and $22.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Star Equity Holdings | 36.44 Mn | -19.04 Mn | 22.80 Mn | 24.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.17 Mn |
| Mar 31, 2026 | 24.57 Mn |
| Dec 31, 2025 | 24.32 Mn |
| Sep 30, 2025 | 22.27 Mn |
| Jun 30, 2025 | 18.85 Mn |
| Mar 31, 2025 | 18.12 Mn |
| Dec 31, 2024 | 17.73 Mn |
| Sep 30, 2024 | 19.06 Mn |
| Jun 30, 2024 | 35.90 Mn |
| Mar 31, 2024 | 36.93 Mn |
| Dec 31, 2023 | 35.24 Mn |
| Sep 30, 2023 | 38.12 Mn |
| Jun 30, 2023 | 43.54 Mn |
| Mar 31, 2023 | 43.05 Mn |
| Dec 31, 2022 | 42.99 Mn |
| Sep 30, 2022 | 47.43 Mn |
| Jun 30, 2022 | 52.84 Mn |
| Mar 31, 2022 | 48.32 Mn |
| Dec 31, 2021 | 47.34 Mn |
| Sep 30, 2021 | 43.65 Mn |
Star Equity Holdings 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=STRR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "STRR", "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=STRR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();