Xeriant (XERI) Operating Expenses (2010 - 2026)
Xeriant (XERI) reported Operating Expenses of $172,400 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 18.8% from $212,195 a year earlier and down 50.8% from the prior quarter.
Xeriant (XERI) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Xeriant posted Operating Expenses of $1.06 million, down 22.5% from FY2025.
- Operating Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -13.6% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $1.37 million in FY2025 (-28.4%), $1.91 million in FY2024 (-7.1%), $2.05 million in FY2023 (-81.4%) and $11.01 million in FY2022 (+400.7%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q1 2021.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with an average decline of 15.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2022 (growth of 368.6%); the low point was fiscal Q2 2023 (a decline of 87.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $350,687 (Q3 2026), $231,062 (Q2 2026) and $304,075 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn | 210.70 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn | 262.80 Mn |
| 10 | Xeriant | 8.24 Mn | 8.00 Mn | - | 172,400.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172,400.00 |
| Mar 31, 2026 | 350,687.00 |
| Dec 31, 2025 | 231,062.00 |
| Sep 30, 2025 | 304,075.00 |
| Jun 30, 2025 | 212,195.00 |
| Mar 31, 2025 | 458,918.00 |
| Dec 31, 2024 | 335,583.00 |
| Sep 30, 2024 | 358,795.00 |
| Jun 30, 2024 | 894,111.00 |
| Mar 31, 2024 | 352,964.00 |
| Dec 31, 2023 | 339,943.00 |
| Sep 30, 2023 | 318,890.00 |
| Jun 30, 2023 | 389,391.00 |
| Mar 31, 2023 | 387,240.00 |
| Dec 31, 2022 | 539,019.00 |
| Sep 30, 2022 | 735,985.00 |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 4.26 Mn |
| Sep 30, 2021 | 4.25 Mn |
Xeriant 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=XERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XERI", "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=XERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();