Parsons (PSN) Interest Expenses (2018 - 2026)
Parsons (PSN) recorded Interest Expenses of $16.39 million in Q2 2026, up 30.4% from $12.57 million a year earlier and up 2.4% from the prior quarter.
Parsons (PSN) Interest Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Parsons' Interest Expenses came in at $58.87 million as of Jun 30, 2026, up 16.8% year-over-year; for FY2025, it came in at $51.3 million, down 0.5% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $51.58 million in FY2024 (+63.8%), $31.5 million in FY2023 (+35.9%), $23.19 million in FY2022 (+31.0%) and $17.7 million in FY2021 (-15.6%).
- The Q2 2026 figure is the highest quarterly Interest Expenses in data going back to Q1 2018.
- On a year-over-year basis, Interest Expenses has increased for four consecutive quarters, with growth averaging 18.5% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 101.3% in Q1 2024, against a decline of 42.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $16 million (Q1 2026), $12.95 million (Q4 2025) and $13.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 266.00 Mn |
| 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 | 109.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Parsons | 4.39 Bn | 3.06 Bn | 295.24 Mn | 16.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.39 Mn |
| Mar 31, 2026 | 16.00 Mn |
| Dec 31, 2025 | 12.95 Mn |
| Sep 30, 2025 | 13.54 Mn |
| Jun 30, 2025 | 12.57 Mn |
| Mar 31, 2025 | 12.25 Mn |
| Dec 31, 2024 | 12.54 Mn |
| Sep 30, 2024 | 13.03 Mn |
| Jun 30, 2024 | 13.01 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Dec 31, 2023 | 9.13 Mn |
| Sep 30, 2023 | 8.61 Mn |
| Jun 30, 2023 | 7.30 Mn |
| Mar 31, 2023 | 6.46 Mn |
| Dec 31, 2022 | 8.40 Mn |
| Sep 30, 2022 | 6.32 Mn |
| Jun 30, 2022 | 4.53 Mn |
| Mar 31, 2022 | 3.94 Mn |
| Dec 31, 2021 | 4.19 Mn |
| Sep 30, 2021 | 4.05 Mn |
Parsons Interest Expenses 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=interest-expenses&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();