Femto Technologies (FMTOF) Return on Sales [ROS] (2022 - 2026)
Femto Technologies (FMTOF) recorded Return on Sales [ROS] of -441.26% in Q2 2026, up 1657.92 percentage points from -2099.18% a year earlier and up 7.96 percentage points from the prior quarter.
Femto Technologies (FMTOF) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, Femto Technologies' Return on Sales [ROS] came in at -1213.79% as of Jun 30, 2026, up 1684.41 percentage points year-over-year; for FY2025, it came in at -1955.56%, down 27.87 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four straight years, with a four-year change of -1905.31 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -1927.69% in FY2024 (-219.16 pp), -1708.53% in FY2023 (-1553.22 pp), -155.31% in FY2022 (-105.07 pp) and -50.25% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +627.90 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2803.59 percentage points in Q4 2025, against a drop of 7295.04 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -449.22% (Q1 2026), -3100.73% (Q4 2025) and -983.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 470.78 Bn | 439.73 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 379.50 Bn | 251.63 Bn | - | 34.78% |
| 3 | Sap Se | 279.32 Bn | 207.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 203.81 Bn | 159.68 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 163.53 Bn | 141.98 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 122.74 Bn | 104.87 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 95.44 Bn | 74.78 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 74.44 Bn | 73.53 Bn | - | - |
| 9 | Thomson Reuters | 55.19 Bn | 51.97 Bn | - | 28.56% |
| 10 | Femto Technologies | 244,724.00 | 244,724.00 | 20,639.52 | -441.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -441.26% |
| Mar 31, 2026 | -449.22% |
| Dec 31, 2025 | -3,100.73% |
| Sep 30, 2025 | -983.34% |
| Jun 30, 2025 | -2,099.18% |
| Mar 31, 2025 | -1,537.01% |
| Dec 31, 2024 | -5,904.32% |
| Sep 30, 2024 | -1,801.68% |
| Jun 30, 2024 | -1,233.96% |
| Mar 31, 2024 | -534.21% |
| Dec 31, 2023 | -7,528.93% |
| Sep 30, 2023 | -700.69% |
| Jun 30, 2023 | -414.87% |
| Mar 31, 2023 | -154.14% |
| Dec 31, 2022 | -233.89% |
| Sep 30, 2022 | -303.45% |
| Jun 30, 2022 | -216.47% |
| Mar 31, 2022 | -13.17% |
Femto Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FMTOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FMTOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();