Ingersoll Rand (IR) Acquisitions (2016 - 2026)
Ingersoll Rand (IR) recorded Acquisitions of $110 million in Q2 2026, up 134.0% from $47 million a year earlier and up 111.5% from the prior quarter.
Ingersoll Rand (IR) Acquisitions (2016 - 2026) Analysis & Trends
On a TTM basis, Ingersoll Rand's Acquisitions came in at $476.6 million as of Jun 30, 2026, up 12.1% year-over-year; for FY2025, it was $525 million, down 82.3% from FY2024.
- Annual Acquisitions has a five-year compound annual growth rate of 125.5% (FY2020 to FY2025).
- Across earlier years, Acquisitions came in at $2.96 billion in FY2024 (+207.2%), $963 million in FY2023 (+290.2%), $246.8 million in FY2022 (-74.7%) and $974.8 million in FY2021.
- Quarterly Acquisitions has ranged from $15.1 million in Q3 2024 to $2.6 billion in Q2 2024 over the past five years.
- On a year-over-year basis, Acquisitions rose in three of the last seven quarters, with growth averaging 32.6%.
- Peak year-over-year performance for Acquisitions in the last five years was growth of 856.5% in Q3 2023, against a decline of 98.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $52 million (Q1 2026), $65.2 million (Q4 2025) and $249.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 14.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 92.20 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 16.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 264.20 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Ingersoll Rand | 29.15 Bn | 24.35 Bn | 862.60 Mn | 110.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.00 Mn |
| Mar 31, 2026 | 52.00 Mn |
| Dec 31, 2025 | 65.20 Mn |
| Sep 30, 2025 | 249.40 Mn |
| Jun 30, 2025 | 47.00 Mn |
| Mar 31, 2025 | 163.40 Mn |
| Dec 31, 2024 | 199.60 Mn |
| Sep 30, 2024 | 15.10 Mn |
| Jun 30, 2024 | 2.60 Bn |
| Mar 31, 2024 | 143.30 Mn |
| Dec 31, 2023 | 39.20 Mn |
| Sep 30, 2023 | 308.00 Mn |
| Jun 30, 2023 | 49.40 Mn |
| Mar 31, 2023 | 566.40 Mn |
| Dec 31, 2022 | 184.30 Mn |
| Sep 30, 2022 | 32.20 Mn |
| Mar 31, 2022 | 30.30 Mn |
| Dec 31, 2021 | 165.50 Mn |
| Sep 30, 2021 | 593.50 Mn |
| Jun 30, 2021 | 13.30 Mn |
Ingersoll Rand Acquisitions 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=acquisitions&ticker=IR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=IR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();