Solid Biosciences (SLDB) Depreciation and Depletion (2017 - 2023)
Solid Biosciences (SLDB) posted Depreciation and Depletion of $587,000 for Q4 2023, up 8.9% from $539,000 a year earlier but down 0.2% from the prior quarter.
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Analysis
Solid Biosciences (SLDB) Depreciation and Depletion (2017 - 2023) Analysis & Trends
For FY2023, Solid Biosciences' Depreciation and Depletion came in at $2.58 million, up 7.2% from FY2022.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 10.5% (FY2018 to FY2023).
- In prior years, Solid Biosciences' Depreciation and Depletion was $2.41 million in FY2022 (-18.8%), $2.96 million in FY2021 (-24.4%), $3.92 million in FY2020 (+38.9%) and $2.82 million in FY2019 (+80.3%).
- Quarterly Depreciation and Depletion has run from a low of $438,000 in Q3 2022 to a high of $1.33 million in Q2 2020 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in three of the last eight quarters, with an average decline of 4.3%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2019, with growth of 162.6%; the weakest was Q2 2021, with a decline of 46.2%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $588,000 (Q3 2023), $703,000 (Q2 2023) and $703,000 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 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 | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 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 | - |
| 10 | Solid Biosciences | 984.27 Mn | 984.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 587,000.00 |
| Sep 30, 2023 | 588,000.00 |
| Jun 30, 2023 | 703,000.00 |
| Mar 31, 2023 | 703,000.00 |
| Dec 31, 2022 | 539,000.00 |
| Sep 30, 2022 | 438,000.00 |
| Jun 30, 2022 | 722,000.00 |
| Mar 31, 2022 | 709,000.00 |
| Dec 31, 2021 | 760,000.00 |
| Sep 30, 2021 | 752,000.00 |
| Jun 30, 2021 | 718,000.00 |
| Mar 31, 2021 | 734,000.00 |
| Dec 31, 2020 | 796,000.00 |
| Sep 30, 2020 | 766,000.00 |
| Jun 30, 2020 | 1.33 Mn |
| Mar 31, 2020 | 1.03 Mn |
| Dec 31, 2019 | 806,000.00 |
| Sep 30, 2019 | 764,000.00 |
| Jun 30, 2019 | 658,000.00 |
| Mar 31, 2019 | 596,000.00 |
API Access
Solid Biosciences 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=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SLDB", "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=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();