Cleartronic (CLRI) Operating Expenses (2010 - 2026)
Cleartronic (CLRI) recorded Operating Expenses of $853,407 in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 5.3% from $810,525 a year earlier but down 4.6% from the prior quarter.
Cleartronic (CLRI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Cleartronic's Operating Expenses came in at $3.53 million as of Mar 31, 2026, up 11.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $3.4 million, up 32.7% from FY2024.
- Annual Operating Expenses has increased for four straight fiscal years, with a four-year compound annual growth rate of 30.9% (FY2021 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $2.56 million in FY2024 (+55.9%), $1.64 million in FY2023 (+23.5%), $1.33 million in FY2022 (+14.8%) and $1.16 million in FY2021.
- Quarterly Operating Expenses has ranged from $293,333 in fiscal Q4 2021 to $931,730 in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 45.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 111.3% in fiscal Q2 2025, against a decline of 2.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $894,787 (Q1 2026), $904,259 (Q4 2025) and $874,887 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Cleartronic | 2.29 Mn | -1.94 Mn | 905,641.00 | 853,407.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 853,407.00 |
| Dec 31, 2025 | 894,787.00 |
| Sep 30, 2025 | 904,259.00 |
| Jun 30, 2025 | 874,887.00 |
| Mar 31, 2025 | 810,525.00 |
| Dec 31, 2024 | 808,306.00 |
| Sep 30, 2024 | 931,730.00 |
| Jun 30, 2024 | 606,721.00 |
| Mar 31, 2024 | 383,537.00 |
| Dec 31, 2023 | 517,885.00 |
| Sep 30, 2023 | 487,768.00 |
| Jun 30, 2023 | 420,128.00 |
| Mar 31, 2023 | 364,971.00 |
| Dec 31, 2022 | 412,624.00 |
| Sep 30, 2022 | 335,288.00 |
| Jun 30, 2022 | 329,003.00 |
| Mar 31, 2022 | 298,966.00 |
| Dec 31, 2021 | 366,534.00 |
| Sep 30, 2021 | 293,333.00 |
| Jun 30, 2021 | 302,542.00 |
Cleartronic 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=CLRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CLRI", "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=CLRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();