F&M Bank (FMBM) Depreciation and Depletion (2010 - 2019)
F&M Bank (FMBM) recorded Depreciation and Depletion of $385,000 in Q4 2019, up 35.1% from $285,000 a year earlier and up 23.8% from the prior quarter.
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Analysis
F&M Bank (FMBM) Depreciation and Depletion (2010 - 2019) Analysis & Trends
For FY2019, F&M Bank reported Depreciation and Depletion of $1.3 million, up 14.2% from FY2018.
- Annual Depreciation and Depletion has increased for five straight years, with a five-year compound annual growth rate of 16.2% (FY2014 to FY2019).
- Across earlier years, Depreciation and Depletion came in at $1.14 million in FY2018 (+22.3%), $930,000 in FY2017 (+12.5%), $827,000 in FY2016 (+13.8%) and $727,000 in FY2015 (+18.8%).
- The Q4 2019 figure is the highest quarterly Depreciation and Depletion in data going back to Q3 2010.
- On a year-over-year basis, Depreciation and Depletion has increased for 11 consecutive quarters, with growth averaging 18.8% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 35.1% in Q4 2019, against a decline of 1.0% in Q1 2017 at the low end.
- Per Business Quant, the preceding three quarters came in at $311,000 (Q3 2019), $303,000 (Q2 2019) and $300,000 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 243.13 Mn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | F&M Bank | 142.07 Mn | 142.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 385,000.00 |
| Sep 30, 2019 | 311,000.00 |
| Jun 30, 2019 | 303,000.00 |
| Mar 31, 2019 | 300,000.00 |
| Dec 31, 2018 | 285,000.00 |
| Sep 30, 2018 | 289,000.00 |
| Jun 30, 2018 | 298,000.00 |
| Mar 31, 2018 | 265,000.00 |
| Dec 31, 2017 | 270,000.00 |
| Sep 30, 2017 | 230,000.00 |
| Jun 30, 2017 | 228,000.00 |
| Mar 31, 2017 | 202,000.00 |
| Dec 31, 2016 | 225,000.00 |
| Sep 30, 2016 | 201,000.00 |
| Jun 30, 2016 | 197,000.00 |
| Mar 31, 2016 | 204,000.00 |
| Dec 31, 2015 | 202,000.00 |
| Sep 30, 2015 | 177,000.00 |
| Mar 31, 2013 | 150,000.00 |
| Dec 31, 2012 | 144,920.00 |
API Access
F&M Bank 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=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FMBM", "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=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();