Parsons (PSN) Depreciation and Depletion (2018 - 2026)
Parsons (PSN) recorded Depreciation and Depletion of $10.6 million in Q2 2026, up 11.6% from $9.5 million a year earlier and up 3.9% from the prior quarter.
Parsons (PSN) Depreciation and Depletion (2018 - 2026) Analysis & Trends
On a TTM basis, Parsons' Depreciation and Depletion came in at $44.2 million as of Jun 30, 2026, up 17.9% year-over-year; for FY2025, it was $42 million, up 12.3% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $37.4 million in FY2024 (-4.3%), $39.1 million in FY2023 (+0.3%), $39 million in FY2022 (+1.0%) and $38.6 million in FY2021 (-1.0%).
- Quarterly Depreciation and Depletion has ranged from $9.1 million in Q1 2025 to $13.9 million in Q4 2025 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has increased for three consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 47.9% in Q4 2025, against a decline of 6.9% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.2 million (Q1 2026), $13.9 million (Q4 2025) and $9.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Parsons | 4.36 Bn | 3.04 Bn | 295.24 Mn | 10.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.60 Mn |
| Mar 31, 2026 | 10.20 Mn |
| Dec 31, 2025 | 13.90 Mn |
| Sep 30, 2025 | 9.50 Mn |
| Jun 30, 2025 | 9.50 Mn |
| Mar 31, 2025 | 9.10 Mn |
| Dec 31, 2024 | 9.40 Mn |
| Sep 30, 2024 | 9.50 Mn |
| Jun 30, 2024 | 9.20 Mn |
| Mar 31, 2024 | 9.40 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 10.20 Mn |
| Jun 30, 2023 | 9.50 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 9.70 Mn |
| Sep 30, 2022 | 9.70 Mn |
| Jun 30, 2022 | 9.90 Mn |
| Mar 31, 2022 | 9.70 Mn |
| Dec 31, 2021 | 9.80 Mn |
| Sep 30, 2021 | 9.60 Mn |
Parsons Depreciation and Depletion 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-depletion&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();