Synlogic (SYBX) Total Non-Current Liabilities (2016 - 2024)
Synlogic's Total Non-Current Liabilities was $11.79 million in Q1 2024, down 21.4% from $14.99 million a year earlier and down 5.6% from the prior quarter.
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Analysis
Synlogic (SYBX) Total Non-Current Liabilities (2016 - 2024) Analysis & Trends
At the end of FY2023, Total Non-Current Liabilities at Synlogic came in at $12.49 million, down 22.6% from FY2022.
- Total Non-Current Liabilities has now declined for four consecutive years, though with a five-year compound annual growth rate of 9.6% (FY2018 to FY2023).
- In earlier years, Total Non-Current Liabilities was $16.13 million in FY2022 (-7.2%), $17.39 million in FY2021 (-14.8%), $20.4 million in FY2020 (-10.5%) and $22.81 million in FY2019 (+188.6%).
- The Q1 2024 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2018.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 17 straight quarters, with an average decline of 14.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2019 (growth of 189.6%); the worst was Q4 2023 (a decline of 22.6%).
- Per Business Quant data, SYBX's Total Non-Current Liabilities in the three quarters before Q1 2024 was $12.49 million (Q4 2023), $13.71 million (Q3 2023) and $14.88 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Synlogic | 11.23 Mn | -49.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 11.79 Mn |
| Dec 31, 2023 | 12.49 Mn |
| Sep 30, 2023 | 13.71 Mn |
| Jun 30, 2023 | 14.88 Mn |
| Mar 31, 2023 | 14.99 Mn |
| Dec 31, 2022 | 16.13 Mn |
| Sep 30, 2022 | 16.21 Mn |
| Jun 30, 2022 | 17.29 Mn |
| Mar 31, 2022 | 17.35 Mn |
| Dec 31, 2021 | 17.39 Mn |
| Sep 30, 2021 | 18.36 Mn |
| Jun 30, 2021 | 19.17 Mn |
| Mar 31, 2021 | 19.71 Mn |
| Dec 31, 2020 | 20.40 Mn |
| Sep 30, 2020 | 21.12 Mn |
| Jun 30, 2020 | 21.66 Mn |
| Mar 31, 2020 | 22.20 Mn |
| Dec 31, 2019 | 22.81 Mn |
| Sep 30, 2019 | 23.41 Mn |
| Jun 30, 2019 | 22.83 Mn |
API Access
Synlogic Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SYBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SYBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();