Ingersoll Rand (IR) Total Non-Current Liabilities (2016 - 2026)
Ingersoll Rand (IR) posted Total Non-Current Liabilities of $7.56 billion for Q2 2026, up 1.8% from $7.43 billion a year earlier and up 0.2% from the prior quarter.
Ingersoll Rand (IR) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Ingersoll Rand's Total Non-Current Liabilities came in at $7.68 billion, up 2.8% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior years, Ingersoll Rand's Total Non-Current Liabilities was $7.47 billion in FY2024 (+41.4%), $5.28 billion in FY2023 (+2.6%), $5.15 billion in FY2022 (-10.8%) and $5.77 billion in FY2021 (-11.5%).
- Quarterly Total Non-Current Liabilities has run from a low of $5.05 billion in Q2 2022 to a high of $7.68 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 11.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2024, with growth of 46.5%; the weakest was Q2 2022, with a decline of 22.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $7.55 billion (Q1 2026), $7.68 billion (Q4 2025) and $7.54 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Ingersoll Rand | 29.15 Bn | 24.35 Bn | 862.60 Mn | 7.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.56 Bn |
| Mar 31, 2026 | 7.55 Bn |
| Dec 31, 2025 | 7.68 Bn |
| Sep 30, 2025 | 7.54 Bn |
| Jun 30, 2025 | 7.43 Bn |
| Mar 31, 2025 | 7.50 Bn |
| Dec 31, 2024 | 7.47 Bn |
| Sep 30, 2024 | 7.51 Bn |
| Jun 30, 2024 | 7.50 Bn |
| Mar 31, 2024 | 7.67 Bn |
| Dec 31, 2023 | 5.28 Bn |
| Sep 30, 2023 | 5.13 Bn |
| Jun 30, 2023 | 5.13 Bn |
| Mar 31, 2023 | 5.23 Bn |
| Dec 31, 2022 | 5.15 Bn |
| Sep 30, 2022 | 5.09 Bn |
| Jun 30, 2022 | 5.05 Bn |
| Mar 31, 2022 | 5.73 Bn |
| Dec 31, 2021 | 5.77 Bn |
| Sep 30, 2021 | 5.90 Bn |
Ingersoll Rand Total Non-Current 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-non-current-liabilities&ticker=IR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IR", "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-non-current-liabilities&ticker=IR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();