Synlogic (SYBX) Property, Plant & Equipment (Net) (2014 - 2023)
Synlogic's Property, Plant & Equipment (Net) came in at $5.6 million for Q4 2023, down 23.5% from $7.32 million a year earlier and down 5.8% from the prior quarter.
Synlogic (SYBX) Property, Plant & Equipment (Net) (2014 - 2023) Analysis & Trends
Going back to Q4 2014, Synlogic's Property, Plant & Equipment (Net) data covers 35 quarters.
- Property, Plant & Equipment (Net) has declined in each of the last five years, with a five-year compound annual growth rate of -17.7% (FY2018 to FY2023).
- Going back by year, Property, Plant & Equipment (Net) was $7.32 million in FY2022 (-19.4%), $9.09 million in FY2021 (-15.7%), $10.78 million in FY2020 (-17.2%) and $13.02 million in FY2019 (-12.3%).
- The Q4 2023 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q3 2017.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 19 consecutive quarters, with an average decline of 20.0% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2019 (growth of 4.7%), and the weakest in Q3 2023 (a decline of 24.7%).
- Business Quant data shows SYBX's Property, Plant & Equipment (Net) at $5.95 million (Q3 2023), $6.4 million (Q2 2023) and $6.89 million (Q1 2023) in the three quarters before Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.10 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Synlogic | 11.23 Mn | -49.24 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 5.60 Mn |
| Sep 30, 2023 | 5.95 Mn |
| Jun 30, 2023 | 6.40 Mn |
| Mar 31, 2023 | 6.89 Mn |
| Dec 31, 2022 | 7.32 Mn |
| Sep 30, 2022 | 7.90 Mn |
| Jun 30, 2022 | 8.46 Mn |
| Mar 31, 2022 | 9.08 Mn |
| Dec 31, 2021 | 9.09 Mn |
| Sep 30, 2021 | 9.63 Mn |
| Jun 30, 2021 | 9.93 Mn |
| Mar 31, 2021 | 10.17 Mn |
| Dec 31, 2020 | 10.78 Mn |
| Sep 30, 2020 | 11.42 Mn |
| Jun 30, 2020 | 12.06 Mn |
| Mar 31, 2020 | 12.66 Mn |
| Dec 31, 2019 | 13.02 Mn |
| Sep 30, 2019 | 13.29 Mn |
| Jun 30, 2019 | 13.85 Mn |
| Mar 31, 2019 | 14.35 Mn |
Synlogic Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SYBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SYBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=SYBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();