Parsons (PSN) Depreciation & Amortization (CF) (2018 - 2026)
Parsons' Depreciation & Amortization (CF) came in at $36.64 million for Q2 2026, up 28.1% from $28.59 million a year earlier and up 2.0% from the prior quarter.
Parsons (PSN) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Parsons reported Depreciation & Amortization (CF) of $133.05 million, up 25.2% year-over-year; for FY2025, it came in at $116.49 million, up 17.4% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $99.25 million in FY2024 (-17.3%), $119.97 million in FY2023 (-0.4%), $120.5 million in FY2022 (-16.4%) and $144.21 million in FY2021 (+12.7%).
- The Q2 2026 figure represents the highest quarterly Depreciation & Amortization (CF) since Q4 2021.
- Year-over-year, Depreciation & Amortization (CF) has increased for six consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2026 (growth of 31.1%), and the weakest in Q4 2024 (a decline of 21.5%).
- Business Quant data shows PSN's Depreciation & Amortization (CF) at $35.93 million (Q1 2026), $30.64 million (Q4 2025) and $29.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 224.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.08 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 596.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 400.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 84.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 148.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 367.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Parsons | 4.39 Bn | 3.06 Bn | 295.24 Mn | 36.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.64 Mn |
| Mar 31, 2026 | 35.93 Mn |
| Dec 31, 2025 | 30.64 Mn |
| Sep 30, 2025 | 29.85 Mn |
| Jun 30, 2025 | 28.59 Mn |
| Mar 31, 2025 | 27.40 Mn |
| Dec 31, 2024 | 25.74 Mn |
| Sep 30, 2024 | 24.54 Mn |
| Jun 30, 2024 | 24.44 Mn |
| Mar 31, 2024 | 24.53 Mn |
| Dec 31, 2023 | 32.77 Mn |
| Sep 30, 2023 | 30.15 Mn |
| Jun 30, 2023 | 28.69 Mn |
| Mar 31, 2023 | 28.36 Mn |
| Dec 31, 2022 | 29.83 Mn |
| Sep 30, 2022 | 29.58 Mn |
| Jun 30, 2022 | 30.58 Mn |
| Mar 31, 2022 | 30.51 Mn |
| Dec 31, 2021 | 37.67 Mn |
| Sep 30, 2021 | 37.23 Mn |
Parsons Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();