Leonardo DRS (DRS) Depreciation and Depletion (2020 - 2026)
Leonardo DRS (DRS) posted Depreciation and Depletion of $20 million for Q2 2026, up 17.6% from $17 million a year earlier and up 5.3% from the prior quarter.
Leonardo DRS (DRS) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Leonardo DRS was $75 million, up 7.1% year-over-year; for FY2025, it was $71 million, up 2.9% from FY2024.
- Annual Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In prior years, Leonardo DRS's Depreciation and Depletion was $69 million in FY2024 (+9.5%), $63 million in FY2023 (+14.5%), $55 million in FY2022 (+12.2%) and $49 million in FY2021 (+11.4%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q1 2020.
- On a year-over-year basis, Depreciation and Depletion increased in six of the last eight quarters, with growth averaging 6.7%.
- The year-over-year growth in Depreciation and Depletion has ranged between 0.0% (Q2 2025) and 23.1% (Q1 2023) over the last five years.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $19 million (Q1 2026), $18 million (Q4 2025) and $18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | - |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Leonardo DRS | 9.81 Bn | 8.25 Bn | 237.00 Mn | 20.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.00 Mn |
| Mar 31, 2026 | 19.00 Mn |
| Dec 31, 2025 | 18.00 Mn |
| Sep 30, 2025 | 18.00 Mn |
| Jun 30, 2025 | 17.00 Mn |
| Mar 31, 2025 | 18.00 Mn |
| Dec 31, 2024 | 18.00 Mn |
| Sep 30, 2024 | 17.00 Mn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | 17.00 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 16.00 Mn |
| Jun 30, 2023 | 15.00 Mn |
| Mar 31, 2023 | 16.00 Mn |
| Dec 31, 2022 | 14.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 14.00 Mn |
| Mar 31, 2022 | 13.00 Mn |
| Dec 31, 2021 | 12.00 Mn |
| Sep 30, 2021 | 13.00 Mn |
Leonardo DRS 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=DRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "DRS", "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=DRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();