Ingersoll Rand (IR) Total Liabilities (2015 - 2026)
Ingersoll Rand (IR) posted Total Liabilities of $7.95 billion for Q2 2026, up 0.6% from $7.9 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
Ingersoll Rand (IR) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Ingersoll Rand's Total Liabilities came in at $8.14 billion, up 4.9% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Ingersoll Rand's Total Liabilities was $7.76 billion in FY2024 (+35.8%), $5.72 billion in FY2023 (+3.8%), $5.51 billion in FY2022 (-9.4%) and $6.08 billion in FY2021 (-11.4%).
- Quarterly Total Liabilities has run from a low of $5.38 billion in Q2 2022 to a high of $8.14 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 10.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2024, with growth of 44.1%; the weakest was Q2 2022, with a decline of 21.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $7.98 billion (Q1 2026), $8.14 billion (Q4 2025) and $8 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Ingersoll Rand | 29.15 Bn | 24.35 Bn | 862.60 Mn | 7.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.95 Bn |
| Mar 31, 2026 | 7.98 Bn |
| Dec 31, 2025 | 8.14 Bn |
| Sep 30, 2025 | 8.00 Bn |
| Jun 30, 2025 | 7.90 Bn |
| Mar 31, 2025 | 7.83 Bn |
| Dec 31, 2024 | 7.76 Bn |
| Sep 30, 2024 | 7.87 Bn |
| Jun 30, 2024 | 7.81 Bn |
| Mar 31, 2024 | 8.09 Bn |
| Dec 31, 2023 | 5.72 Bn |
| Sep 30, 2023 | 5.53 Bn |
| Jun 30, 2023 | 5.55 Bn |
| Mar 31, 2023 | 5.61 Bn |
| Dec 31, 2022 | 5.51 Bn |
| Sep 30, 2022 | 5.41 Bn |
| Jun 30, 2022 | 5.38 Bn |
| Mar 31, 2022 | 6.04 Bn |
| Dec 31, 2021 | 6.08 Bn |
| Sep 30, 2021 | 6.20 Bn |
API Access
Ingersoll Rand 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=IR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=IR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();