Xeriant (XERI) Operating Expenses (2010 - 2026)
Xeriant (XERI) reported Operating Expenses of $350,687 for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 23.6% from $458,918 a year earlier but up 51.8% from the prior quarter.
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Analysis
Xeriant (XERI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Xeriant's Operating Expenses came in at $1.1 million, down 46.4% year-over-year; for FY2025 (ended Jun 30, 2025), it was $1.37 million, down 28.4% from FY2024.
- Operating Expenses has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $1.91 million in FY2024 (-7.1%), $2.05 million in FY2023 (-81.4%), $11.01 million in FY2022 (+400.7%) and $2.2 million in FY2021 (+506.3%).
- Five-year quarterly Operating Expenses spans a low of $212,195 in fiscal Q4 2025 and a high of $4.26 million in fiscal Q2 2022.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with growth averaging 3.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2021 (growth of 658.5%); the low point was fiscal Q2 2023 (a decline of 87.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $231,062 (Q2 2026), $304,075 (Q1 2026) and $212,195 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Xeriant | 8.68 Mn | 5.56 Mn | - | 172,400.00 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();