NovelStem International (NSTM) Depreciation & Amortization (CF) (2010 - 2013)
NovelStem International's Depreciation & Amortization (CF) was $18,000 in FY2022, up 50.0% from $12,000 in FY2021.
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Analysis
NovelStem International (NSTM) Depreciation & Amortization (CF) (2010 - 2013) Analysis & Trends
From FY2011 onward, NovelStem International has reported Depreciation & Amortization (CF) for 4 years.
- The FY2022 figure marks the highest annual Depreciation & Amortization (CF) since FY2012.
- Per Business Quant data, Depreciation & Amortization (CF) in earlier years was $12,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 1.62 Bn |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 16,811.00 |
| Jun 30, 2013 | 20,953.00 |
| Mar 31, 2013 | 21,134.00 |
| Dec 31, 2012 | 23,411.00 |
| Sep 30, 2012 | 37,868.00 |
| Jun 30, 2012 | 37,570.00 |
| Mar 31, 2012 | 37,594.00 |
| Dec 31, 2011 | 40,578.00 |
| Sep 30, 2011 | 50,014.00 |
| Jun 30, 2011 | 54,990.00 |
| Mar 31, 2011 | 74,806.00 |
| Sep 30, 2010 | 131,794.00 |
| Jun 30, 2010 | 148,611.00 |
API Access
NovelStem International Depreciation & Amortization (CF) 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-amortization-cf&ticker=NSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "NSTM", "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-amortization-cf&ticker=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();