Parsons (PSN) Other Non-Current Liabilities (2018 - 2026)
Parsons' Other Non-Current Liabilities was $90.69 million in Q2 2026, down 18.0% from $110.64 million a year earlier and down 13.1% from the prior quarter.
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Analysis
Parsons (PSN) Other Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Parsons came in at $95.35 million, down 1.2% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -6.3% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $96.49 million in FY2024 (-19.8%), $120.3 million in FY2023 (+10.1%), $109.22 million in FY2022 (+15.2%) and $94.83 million in FY2021 (-28.3%).
- The Q2 2026 figure marks the lowest quarterly Other Non-Current Liabilities in data going back to Q4 2018.
- Compared with a year earlier, Other Non-Current Liabilities has declined for three straight quarters, with an average decline of 6.9% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q4 2022 (growth of 15.2%); the worst was Q4 2021 (a decline of 28.3%).
- Per Business Quant data, PSN's Other Non-Current Liabilities in the three quarters before Q2 2026 was $104.41 million (Q1 2026), $95.35 million (Q4 2025) and $102.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 314.12 Bn | 267.89 Bn | 4.68 Bn |
| 2 | Rtx | 258.68 Bn | 230.16 Bn | 5.13 Bn |
| 3 | Boeing | 151.69 Bn | 58.38 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.48 Bn | 113.21 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.49 Bn | 80.61 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.01 Bn | 78.61 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.17 Bn | 73.52 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.41 Bn | 65.65 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.94 Bn | 20.06 Bn | 3.65 Bn |
| 10 | Parsons | 4.84 Bn | 3.40 Bn | 295.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.62 Mn |
| Mar 31, 2026 | 132.28 Mn |
| Dec 31, 2025 | 126.18 Mn |
| Sep 30, 2025 | 132.09 Mn |
| Jun 30, 2025 | 136.71 Mn |
| Mar 31, 2025 | 133.18 Mn |
| Dec 31, 2024 | 96.49 Mn |
| Sep 30, 2024 | 120.61 Mn |
| Jun 30, 2024 | 136.89 Mn |
| Mar 31, 2024 | 138.69 Mn |
| Dec 31, 2023 | 120.30 Mn |
| Sep 30, 2023 | 130.70 Mn |
| Jun 30, 2023 | 128.41 Mn |
| Mar 31, 2023 | 126.03 Mn |
| Dec 31, 2022 | 109.22 Mn |
| Sep 30, 2022 | 114.12 Mn |
| Jun 30, 2022 | 116.30 Mn |
| Mar 31, 2022 | 109.84 Mn |
| Dec 31, 2021 | 94.83 Mn |
| Sep 30, 2021 | 136.86 Mn |
API Access
Parsons Other 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=other-non-current-liabilities&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "PSN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();