Perma Fix Environmental Services (PESI) Total Liabilities (2010 - 2026)
Perma Fix Environmental Services (PESI) posted Total Liabilities of $43.51 million for Q2 2026, up 30.3% from $33.38 million a year earlier and up 12.4% from the prior quarter.
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Analysis
Perma Fix Environmental Services (PESI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Perma Fix Environmental Services' Total Liabilities came in at $37.9 million, up 8.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Perma Fix Environmental Services' Total Liabilities was $34.86 million in FY2024 (-11.5%), $39.37 million in FY2023 (+18.0%), $33.37 million in FY2022 (-9.1%) and $36.72 million in FY2021 (-21.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q1 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 30.3%; the weakest was Q1 2022, with a decline of 28.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $38.71 million (Q1 2026), $37.9 million (Q4 2025) and $35.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 36.52 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 23.13 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 13.48 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 4.91 Bn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 13.99 Bn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 1.98 Bn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 536.90 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 43.51 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 1.98 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 52.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.51 Mn |
| Mar 31, 2026 | 38.71 Mn |
| Dec 31, 2025 | 37.90 Mn |
| Sep 30, 2025 | 35.79 Mn |
| Jun 30, 2025 | 33.38 Mn |
| Mar 31, 2025 | 33.67 Mn |
| Dec 31, 2024 | 34.86 Mn |
| Sep 30, 2024 | 35.79 Mn |
| Jun 30, 2024 | 36.01 Mn |
| Mar 31, 2024 | 37.80 Mn |
| Dec 31, 2023 | 39.37 Mn |
| Sep 30, 2023 | 40.67 Mn |
| Jun 30, 2023 | 36.35 Mn |
| Mar 31, 2023 | 35.13 Mn |
| Dec 31, 2022 | 33.37 Mn |
| Sep 30, 2022 | 34.22 Mn |
| Jun 30, 2022 | 32.95 Mn |
| Mar 31, 2022 | 32.68 Mn |
| Dec 31, 2021 | 36.72 Mn |
| Sep 30, 2021 | 34.35 Mn |
API Access
Perma Fix Environmental Services Total 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-liabilities&ticker=PESI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PESI", "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-liabilities&ticker=PESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();