Ses Ai (SES) Total Non-Current Liabilities (2021 - 2026)
Ses Ai's Total Non-Current Liabilities came in at $45.58 million for Q2 2026, up 19.3% from $38.2 million a year earlier but down 2.4% from the prior quarter.
Ses Ai (SES) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Ses Ai's Total Non-Current Liabilities was $50.1 million, up 19.3% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of -35.0% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $42 million in FY2024 (-3.9%), $43.69 million in FY2023 (+15.2%), $37.94 million in FY2022 (-86.5%) and $280.93 million in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $26.68 million (Q2 2022) to $352.46 million (Q3 2021).
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 16.7% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 41.0%), and the weakest in Q2 2022 (a decline of 92.3%).
- Business Quant data shows SES's Total Non-Current Liabilities at $46.69 million (Q1 2026), $50.1 million (Q4 2025) and $53.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 62.75 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 3.98 Bn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 2.78 Bn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 2.98 Bn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | - |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 1.61 Bn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 1.79 Bn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 1.56 Bn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 1.57 Bn |
| 10 | Ses Ai | 212.72 Mn | 212.73 Mn | 1.15 Mn | 45.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.58 Mn |
| Mar 31, 2026 | 46.69 Mn |
| Dec 31, 2025 | 50.10 Mn |
| Sep 30, 2025 | 53.62 Mn |
| Jun 30, 2025 | 38.20 Mn |
| Mar 31, 2025 | 33.56 Mn |
| Dec 31, 2024 | 42.00 Mn |
| Sep 30, 2024 | 38.01 Mn |
| Jun 30, 2024 | 34.21 Mn |
| Mar 31, 2024 | 35.20 Mn |
| Dec 31, 2023 | 43.69 Mn |
| Sep 30, 2023 | 33.98 Mn |
| Jun 30, 2023 | 35.96 Mn |
| Mar 31, 2023 | 35.15 Mn |
| Dec 31, 2022 | 37.94 Mn |
| Sep 30, 2022 | 28.54 Mn |
| Jun 30, 2022 | 26.68 Mn |
| Mar 31, 2022 | 37.93 Mn |
| Dec 31, 2021 | 280.93 Mn |
| Sep 30, 2021 | 352.46 Mn |
Ses Ai 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=SES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SES", "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=SES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();