Rtx (RTX) Change in Inventory (2009 - 2026)
Rtx (RTX) posted Change in Inventory of $330 million for Q2 2026, down 14.1% from $384 million a year earlier and down 59.4% from the prior quarter.
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Analysis
Rtx (RTX) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Rtx was $478 million, down 63.5% year-over-year; for FY2025, it was $532 million, down 63.9% from FY2024.
- In prior years, Rtx's Change in Inventory was $1.47 billion in FY2024 (+33.5%), $1.1 billion in FY2023 (-29.9%), $1.58 billion in FY2022 and -$163 million in FY2021.
- Quarterly Change in Inventory has run from a low of -$483 million in Q4 2025 to a high of $813 million in Q1 2026 over five years.
- On a year-over-year basis, Change in Inventory increased in two of the last five quarters, with growth averaging 36.8%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q1 2022, with growth of 419.5%; the weakest was Q3 2023, with a decline of 73.1%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $813 million (Q1 2026), -$483 million (Q4 2025) and -$182 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn | 160.00 Mn |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn | -80.00 Mn |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn | 55.00 Mn |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn | 31.00 Mn |
| 10 | TransDigm | 63.64 Bn | 51.65 Bn | 1.63 Bn | 87.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 330.00 Mn |
| Mar 31, 2026 | 813.00 Mn |
| Dec 31, 2025 | -483.00 Mn |
| Sep 30, 2025 | -182.00 Mn |
| Jun 30, 2025 | 384.00 Mn |
| Mar 31, 2025 | 813.00 Mn |
| Dec 31, 2024 | -231.00 Mn |
| Sep 30, 2024 | 344.00 Mn |
| Jun 30, 2024 | 715.00 Mn |
| Mar 31, 2024 | 646.00 Mn |
| Dec 31, 2023 | -326.00 Mn |
| Sep 30, 2023 | 108.00 Mn |
| Jun 30, 2023 | 602.00 Mn |
| Mar 31, 2023 | 720.00 Mn |
| Dec 31, 2022 | 141.00 Mn |
| Sep 30, 2022 | 401.00 Mn |
| Jun 30, 2022 | 446.00 Mn |
| Mar 31, 2022 | 587.00 Mn |
| Dec 31, 2021 | -220.00 Mn |
| Sep 30, 2021 | -76.00 Mn |
API Access
Rtx Change in Inventory 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=change-in-inventory&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "RTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();