Pampa Energy (PAM) Total Non-Current Liabilities (2009 - 2026)
Pampa Energy (PAM) recorded Total Non-Current Liabilities of $4.47 trillion in Q2 2026, up 141.9% from $1.85 trillion a year earlier and up 64.4% from the prior quarter.
Pampa Energy (PAM) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pampa Energy reported Total Non-Current Liabilities of $3.42 trillion.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 360.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $1.75 billion in FY2024 (-2.2%), $1.79 billion in FY2023 (-2.1%), $1.83 billion in FY2022 (+5.7%) and $1.73 billion in FY2021 (+4.6%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last six quarters, with growth averaging 54.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 331.2% in Q1 2024, against a decline of 99.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.72 trillion (Q1 2026), $3.42 trillion (Q4 2025) and $2.25 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 541.34 Bn | 451.89 Bn | 30.13 Bn | 113.12 Bn |
| 2 | Chevron | 403.85 Bn | 381.64 Bn | 33.45 Bn | - |
| 3 | TotalEnergies SE | 193.34 Bn | 76.47 Bn | - | 83.60 Bn |
| 4 | Eni Spa | 172.00 Bn | 121.52 Bn | - | 56.22 Bn |
| 5 | Conocophillips | 150.68 Bn | 123.39 Bn | 12.81 Bn | 57.00 Bn |
| 6 | Equinor Asa | 103.39 Bn | 49.45 Bn | - | 59.14 Bn |
| 7 | Phillips 66 | 100.64 Bn | 89.62 Bn | 8.38 Bn | 46.24 Bn |
| 8 | Canadian Natural Resources | 98.19 Bn | 95.14 Bn | - | - |
| 9 | Suncor Energy | 80.57 Bn | 66.37 Bn | - | 45.06 Bn |
| 10 | Pampa Energy | 4.19 Bn | 22.72 Bn | 372.13 Bn | 4,472.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,472.86 Bn |
| Mar 31, 2026 | 2,721.16 Bn |
| Dec 31, 2025 | 3,421.83 Bn |
| Sep 30, 2025 | 2,254.63 Bn |
| Jun 30, 2025 | 1,848.87 Bn |
| Mar 31, 2025 | 1.61 Bn |
| Dec 31, 2024 | 1.75 Bn |
| Sep 30, 2024 | 1,590.63 Bn |
| Jun 30, 2024 | 1,401.12 Bn |
| Mar 31, 2024 | 1,285.63 Bn |
| Dec 31, 2023 | 1.79 Bn |
| Sep 30, 2023 | 512.70 Bn |
| Jun 30, 2023 | 360.45 Bn |
| Mar 31, 2023 | 298.12 Bn |
| Dec 31, 2022 | 1.83 Bn |
| Sep 30, 2022 | 197.11 Bn |
| Jun 30, 2022 | 190.91 Bn |
| Mar 31, 2022 | 167.22 Bn |
| Dec 31, 2021 | 1.73 Bn |
| Mar 31, 2021 | 49.21 Bn |
Pampa 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=PAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PAM", "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=PAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();