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 | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Parsons | 4.39 Bn | 3.06 Bn | 295.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.69 Mn |
| Mar 31, 2026 | 104.41 Mn |
| Dec 31, 2025 | 95.35 Mn |
| Sep 30, 2025 | 102.25 Mn |
| Jun 30, 2025 | 110.64 Mn |
| Mar 31, 2025 | 106.70 Mn |
| Dec 31, 2024 | 96.49 Mn |
| Sep 30, 2024 | 93.06 Mn |
| Jun 30, 2024 | 111.40 Mn |
| Mar 31, 2024 | 114.24 Mn |
| Dec 31, 2023 | 120.30 Mn |
| Sep 30, 2023 | 111.50 Mn |
| Jun 30, 2023 | 110.26 Mn |
| Mar 31, 2023 | 107.43 Mn |
| Dec 31, 2022 | 109.22 Mn |
| Sep 30, 2022 | 98.48 Mn |
| Jun 30, 2022 | 100.12 Mn |
| Mar 31, 2022 | 94.84 Mn |
| Dec 31, 2021 | 94.83 Mn |
| Sep 30, 2021 | 117.37 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();