Boeing (BA) Total Liabilities (2009 - 2026)
Boeing (BA) reported Total Liabilities of $159.76 billion for Q2 2026, up 0.8% from $158.42 billion a year earlier and up 0.6% from the prior quarter.
Analysis
Boeing (BA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Boeing posted Total Liabilities of $162.78 billion, up 1.6% from FY2024.
- Total Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $160.28 billion in FY2024 (+3.9%), $154.24 billion in FY2023 (+0.8%), $152.95 billion in FY2022 (-0.3%) and $153.4 billion in FY2021 (-9.9%).
- Five-year quarterly Total Liabilities spans a low of $150.27 billion in Q2 2023 and a high of $162.78 billion in Q4 2025.
- Year over year, Total Liabilities gained in five of the last eight quarters, with growth averaging 1.8%.
- The high point for year-over-year Total Liabilities in five years was Q2 2024 (growth of 6.9%); the low point was Q1 2022 (a decline of 10.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $158.8 billion (Q1 2026), $162.78 billion (Q4 2025) and $158.28 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 58.49 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn | 36.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.76 Bn |
| Mar 31, 2026 | 158.80 Bn |
| Dec 31, 2025 | 162.78 Bn |
| Sep 30, 2025 | 158.28 Bn |
| Jun 30, 2025 | 158.42 Bn |
| Mar 31, 2025 | 159.82 Bn |
| Dec 31, 2024 | 160.28 Bn |
| Sep 30, 2024 | 161.26 Bn |
| Jun 30, 2024 | 160.70 Bn |
| Mar 31, 2024 | 151.50 Bn |
| Dec 31, 2023 | 154.24 Bn |
| Sep 30, 2023 | 151.00 Bn |
| Jun 30, 2023 | 150.27 Bn |
| Mar 31, 2023 | 151.83 Bn |
| Dec 31, 2022 | 152.95 Bn |
| Sep 30, 2022 | 155.19 Bn |
| Jun 30, 2022 | 150.27 Bn |
| Mar 31, 2022 | 151.07 Bn |
| Dec 31, 2021 | 153.40 Bn |
| Sep 30, 2021 | 161.11 Bn |
API Access
Boeing Total Liabilities 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=total-liabilities&ticker=BA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();