Oragenics (OGEN) Accumulated Depreciation (2011 - 2023)
Oragenics (OGEN) posted Accumulated Depreciation of $1.39 million for Q2 2023, up 0.8% from the prior quarter.
Analysis
Oragenics (OGEN) Accumulated Depreciation (2011 - 2023) Analysis & Trends
At the end of FY2022, Oragenics' Accumulated Depreciation came in at $1.36 million, down 16.2% from FY2021.
- Annual Accumulated Depreciation shows a five-year compound annual growth rate of -3.0% (FY2017 to FY2022).
- In prior years, Oragenics' Accumulated Depreciation was $1.63 million in FY2021 (-5.1%), $1.71 million in FY2020 (+3.0%), $1.66 million in FY2019 (+3.1%) and $1.61 million in FY2018 (+1.9%).
- The Q2 2023 figure stands as the highest quarterly Accumulated Depreciation since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Oragenics | 2.21 Mn | 2.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 1.37 Mn |
| Dec 31, 2022 | 1.36 Mn |
| Dec 31, 2021 | 1.63 Mn |
| Dec 31, 2020 | 1.71 Mn |
| Dec 31, 2019 | 1.66 Mn |
| Dec 31, 2018 | 1.61 Mn |
| Dec 31, 2017 | 1.58 Mn |
| Dec 31, 2016 | 1.52 Mn |
| Dec 31, 2015 | 1.45 Mn |
| Dec 31, 2014 | 1.56 Mn |
| Dec 31, 2013 | 1.53 Mn |
| Dec 31, 2012 | 1.45 Mn |
| Dec 31, 2011 | 1.38 Mn |
API Access
Oragenics Accumulated Depreciation 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=accumulated-depreciation&ticker=OGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "OGEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=OGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();