Onterris (ONT) Change in Accured Expenses (2019 - 2026)
Onterris' Change in Accured Expenses was $4.8 million in Q2 2026, down 58.9% from $11.68 million a year earlier.
Onterris (ONT) Change in Accured Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Onterris' Change in Accured Expenses was -$6.76 million through Jun 30, 2026; for FY2025, it was $18.53 million, up 387.8% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $3.8 million in FY2024 (-59.9%), $9.46 million in FY2023, -$9.88 million in FY2022 and $24 million in FY2021 (+295.2%).
- Quarterly Change in Accured Expenses has moved between -$27.02 million (Q1 2026) and $27.42 million (Q4 2021) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last six quarters, with growth averaging 111.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2025 (growth of 466.9%); the worst was Q4 2022 (a decline of 88.8%).
- Per Business Quant data, ONT's Change in Accured Expenses in the three quarters before Q2 2026 was -$27.02 million (Q1 2026), $6.47 million (Q4 2025) and $8.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 312.00 Mn |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | - |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | - |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | - |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 13.68 Mn |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 4.80 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | 2.63 Mn |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | -39,000.00 |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 209,267.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.80 Mn |
| Mar 31, 2026 | -27.02 Mn |
| Dec 31, 2025 | 6.47 Mn |
| Sep 30, 2025 | 8.99 Mn |
| Jun 30, 2025 | 11.68 Mn |
| Mar 31, 2025 | -8.62 Mn |
| Dec 31, 2024 | 8.73 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 2.06 Mn |
| Mar 31, 2024 | -10.00 Mn |
| Dec 31, 2023 | 3.37 Mn |
| Sep 30, 2023 | 11.65 Mn |
| Jun 30, 2023 | 6.09 Mn |
| Mar 31, 2023 | -11.64 Mn |
| Dec 31, 2022 | 3.07 Mn |
| Sep 30, 2022 | -2.77 Mn |
| Jun 30, 2022 | 2.68 Mn |
| Mar 31, 2022 | -12.85 Mn |
| Dec 31, 2021 | 27.42 Mn |
| Sep 30, 2021 | -576,000.00 |
Onterris Change in Accured 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=change-in-accured-expenses&ticker=ONT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ONT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=ONT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();