Femto Technologies (FMTOF) Operating Expenses (2021 - 2026)
Femto Technologies' Operating Expenses came in at $815,317 for Q2 2026, down 73.9% from $3.12 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Femto Technologies (FMTOF) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Femto Technologies reported Operating Expenses of $8.26 million, down 42.4% year-over-year; for FY2025, it came in at $11.92 million, down 14.2% from FY2024.
- Operating Expenses carries a four-year compound annual growth rate of 86.5% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $13.89 million in FY2024 (-0.3%), $13.93 million in FY2023 (+667.2%), $1.82 million in FY2022 (+84.3%) and $985,365 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q1 2023.
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with an average decline of 14.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 354.0%), and the weakest in Q2 2026 (a decline of 73.9%).
- Business Quant data shows FMTOF's Operating Expenses at $827,457 (Q1 2026), $5.1 million (Q4 2025) and $1.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 845.28 Mn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 12.62 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 6.37 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 4.18 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 2.51 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | -20.82 Bn |
| 10 | Femto Technologies | 430,555.50 | 430,555.50 | 20,639.52 | 815,317.29 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 815,317.29 |
| Mar 31, 2026 | 827,456.68 |
| Dec 31, 2025 | 5.10 Mn |
| Sep 30, 2025 | 1.51 Mn |
| Jun 30, 2025 | 3.12 Mn |
| Mar 31, 2025 | 2.18 Mn |
| Dec 31, 2024 | 7.75 Mn |
| Sep 30, 2024 | 1.27 Mn |
| Jun 30, 2024 | 3.74 Mn |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 11.19 Mn |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 824,670.20 |
| Mar 31, 2023 | 714,031.86 |
| Dec 31, 2022 | 471,489.88 |
| Sep 30, 2022 | 627,651.58 |
| Jun 30, 2022 | 382,104.10 |
| Mar 31, 2022 | 327,703.35 |
| Dec 31, 2021 | 87,326.47 |
| Sep 30, 2021 | 87,734.56 |
API Access
Femto Technologies 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=FMTOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FMTOF", "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=FMTOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();