SusGlobal Energy (SNRG) Total Non-Current Liabilities (2017 - 2023)
SusGlobal Energy's Total Non-Current Liabilities was $69,852 in Q2 2023, down 96.3% from $1.88 million a year earlier and down 22.3% from the prior quarter.
SusGlobal Energy (SNRG) Total Non-Current Liabilities (2017 - 2023) Analysis & Trends
At the end of FY2022, Total Non-Current Liabilities at SusGlobal Energy came in at $116,978, down 94.0% from FY2021.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -45.8% (FY2017 to FY2022).
- In earlier years, Total Non-Current Liabilities was $1.96 million in FY2021, $161,041 in FY2020 and $207,599 in FY2018 (-91.7%).
- The Q2 2023 figure marks the lowest quarterly Total Non-Current Liabilities since Q3 2020.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with growth averaging 101.5% over the last six quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2021 (growth of 669.1%); the worst was Q2 2023 (a decline of 96.3%).
- Per Business Quant data, SNRG's Total Non-Current Liabilities in the three quarters before Q2 2023 was $89,956 (Q1 2023), $116,978 (Q4 2022) and $4 million (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.84 Bn | 81.75 Bn | 2.73 Bn | 33.19 Bn |
| 2 | Republic Services | 64.88 Bn | 64.50 Bn | 1.87 Bn | 20.48 Bn |
| 3 | Waste Connections | 39.22 Bn | 38.85 Bn | 1.08 Bn | 12.82 Bn |
| 4 | Clean Harbors | 16.45 Bn | 13.46 Bn | 608.78 Mn | 3.75 Bn |
| 5 | GFL Environmental | 15.66 Bn | 13.34 Bn | 385.80 Mn | 12.06 Bn |
| 6 | Casella Waste Systems | 5.02 Bn | 4.14 Bn | 178.80 Mn | 1.78 Bn |
| 7 | Onterris | 495.05 Mn | 454.32 Mn | 82.26 Mn | 530.71 Mn |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | 16.13 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | - |
| 10 | SusGlobal Energy | 1.42 Mn | 1.42 Mn | -53,033.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 69,852.00 |
| Mar 31, 2023 | 89,956.00 |
| Dec 31, 2022 | 116,978.00 |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | 1.88 Mn |
| Mar 31, 2022 | 1.96 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 1.98 Mn |
| Jun 30, 2021 | 451,489.00 |
| Mar 31, 2021 | 339,477.00 |
| Dec 31, 2020 | 161,041.00 |
| Sep 30, 2020 | 59,976.00 |
| Jun 30, 2020 | 58,704.00 |
| Jun 30, 2019 | 172,176.00 |
| Mar 31, 2019 | 400,208.00 |
| Dec 31, 2018 | 207,599.00 |
| Sep 30, 2018 | 240,627.00 |
| Jun 30, 2018 | 2.41 Mn |
| Mar 31, 2018 | 2.55 Mn |
| Dec 31, 2017 | 2.49 Mn |
SusGlobal Energy 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=SNRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SNRG", "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=SNRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();