SusGlobal Energy (SNRG) Operating Expenses (2016 - 2026)
SusGlobal Energy (SNRG) posted Operating Expenses of $1.13 million for Q2 2026, compared with -$77,007 a year earlier and up 10.1% from the prior quarter.
SusGlobal Energy (SNRG) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at SusGlobal Energy was $3.8 million, up 29.1% year-over-year; for FY2025, it came in at $2.26 million, down 51.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In prior years, SusGlobal Energy's Operating Expenses was $4.7 million in FY2024 (+26.3%), $3.72 million in FY2023 (-49.3%), $7.33 million in FY2022 (+119.9%) and $3.33 million in FY2021 (+38.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in three of the last six quarters, with growth averaging 4.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 216.1%; the weakest was Q2 2023, with a decline of 68.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.03 million (Q1 2026), $628,355 (Q4 2025) and $1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 5.43 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 448.00 Mn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 538.77 Mn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 214.57 Mn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 600.10 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 523.78 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 66.50 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 4.00 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 3.95 Mn |
| 10 | SusGlobal Energy | 1.42 Mn | 1.42 Mn | -53,033.00 | 1.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Mn |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 628,355.00 |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | -77,007.00 |
| Mar 31, 2025 | 709,930.00 |
| Dec 31, 2024 | 1.67 Mn |
| Sep 30, 2024 | 640,878.00 |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 982,722.00 |
| Sep 30, 2023 | 1.07 Mn |
| Jun 30, 2023 | 632,995.00 |
| Mar 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 2.21 Mn |
| Sep 30, 2022 | 1.80 Mn |
| Jun 30, 2022 | 2.01 Mn |
| Mar 31, 2022 | 1.31 Mn |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | 816,198.00 |
SusGlobal Energy Operating Expenses 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=operating-expenses&ticker=SNRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SNRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();