Northrop Grumman (NOC) Cash & Equivalents (2009 - 2026)
Northrop Grumman's Cash & Equivalents was $2.31 billion in Q2 2026, up 21.5% from $1.9 billion a year earlier and up 10.4% from the prior quarter.
Northrop Grumman (NOC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Northrop Grumman came in at $4.4 billion, up 1.1% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, though with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $4.35 billion in FY2024 (+40.0%), $3.11 billion in FY2023 (+20.6%), $2.58 billion in FY2022 (-27.0%) and $3.53 billion in FY2021 (-28.1%).
- Quarterly Cash & Equivalents has moved between $1.17 billion (Q2 2022) and $4.4 billion (Q4 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 2.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2023 (growth of 189.5%); the worst was Q2 2022 (a decline of 70.3%).
- Per Business Quant data, NOC's Cash & Equivalents in the three quarters before Q2 2026 was $2.09 billion (Q1 2026), $4.4 billion (Q4 2025) and $1.96 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 8.75 Bn |
| 10 | TransDigm | 60.65 Bn | 48.74 Bn | 1.63 Bn | 2.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.31 Bn |
| Mar 31, 2026 | 2.09 Bn |
| Dec 31, 2025 | 4.40 Bn |
| Sep 30, 2025 | 1.96 Bn |
| Jun 30, 2025 | 1.90 Bn |
| Mar 31, 2025 | 1.69 Bn |
| Dec 31, 2024 | 4.35 Bn |
| Sep 30, 2024 | 3.33 Bn |
| Jun 30, 2024 | 3.27 Bn |
| Mar 31, 2024 | 3.06 Bn |
| Dec 31, 2023 | 3.11 Bn |
| Sep 30, 2023 | 2.08 Bn |
| Jun 30, 2023 | 3.38 Bn |
| Mar 31, 2023 | 2.50 Bn |
| Dec 31, 2022 | 2.58 Bn |
| Sep 30, 2022 | 1.67 Bn |
| Jun 30, 2022 | 1.17 Bn |
| Mar 31, 2022 | 2.17 Bn |
| Dec 31, 2021 | 3.53 Bn |
| Sep 30, 2021 | 4.06 Bn |
Northrop Grumman Cash & Equivalents 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=cash-and-equivalents&ticker=NOC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "NOC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();