Femto Technologies (FMTOF) Depreciation and Depletion (2022 - 2026)
Femto Technologies (FMTOF) posted Depreciation and Depletion of $476.90 for Q1 2026, down 36.3% from $748.49 a year earlier but up 21.4% from the prior quarter.
Powered by 
Analysis
Femto Technologies (FMTOF) Depreciation and Depletion (2022 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Depreciation and Depletion at Femto Technologies was $2,038, down 27.1% year-over-year; for FY2025, it was $2,316, down 39.8% from FY2024.
- Annual Depreciation and Depletion shows a four-year compound annual growth rate of -52.3% (FY2021 to FY2025).
- In prior years, Femto Technologies' Depreciation and Depletion was $3,844 in FY2024 (-94.5%), $70,301 in FY2023 (+176.1%), $25,459 in FY2022 (-42.9%) and $44,622 in FY2021.
- Quarterly Depreciation and Depletion has run from a low of $392.96 in Q4 2025 to a high of $62,095 in Q4 2023 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last three quarters, with an average decline of 51.7% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2025, with growth of 9.1%; the weakest was Q4 2024, with a decline of 98.9%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $392.96 (Q4 2025), $425.81 (Q3 2025) and $741.92 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.48 Bn | 1.64 Bn | - |
| 2 | Oracle | 379.54 Bn | 252.10 Bn | - | 3.20 Bn |
| 3 | Sap Se | 295.84 Bn | 224.19 Bn | 8.40 Bn | - |
| 4 | Salesforce | 205.95 Bn | 161.82 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 162.33 Bn | 140.79 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 122.50 Bn | 104.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 95.25 Bn | 74.60 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 73.89 Bn | 73.01 Bn | - | - |
| 9 | Thomson Reuters | 54.85 Bn | 51.63 Bn | - | 27.00 Mn |
| 10 | Femto Technologies | 344,444.41 | 344,444.41 | 20,639.52 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 476.90 |
| Dec 31, 2025 | 392.96 |
| Sep 30, 2025 | 425.81 |
| Jun 30, 2025 | 741.92 |
| Mar 31, 2025 | 748.49 |
| Dec 31, 2024 | 684.35 |
| Sep 30, 2024 | 683.94 |
| Jun 30, 2024 | 679.96 |
| Mar 31, 2024 | 1,893.13 |
| Dec 31, 2023 | 62,095.43 |
| Sep 30, 2023 | 2,665.96 |
| Jun 30, 2023 | 2,490.94 |
| Mar 31, 2023 | 2,511.27 |
| Dec 31, 2022 | 3,279.06 |
| Sep 30, 2022 | 8,289.29 |
| Jun 30, 2022 | 6,287.27 |
| Mar 31, 2022 | 7,754.23 |
API Access
Femto Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=FMTOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FMTOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();