Ingersoll Rand (IR) EBITDA (2016 - 2026)
Ingersoll Rand's EBITDA was $513.1 million in Q2 2026, up 160.6% from $196.9 million a year earlier and up 20.3% from the prior quarter.
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Analysis
Ingersoll Rand (IR) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ingersoll Rand's EBITDA was $1.97 billion through Jun 30, 2026, up 23.0% year-over-year; for FY2025, it was $1.65 billion, down 7.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.78 billion in FY2024 (+9.8%), $1.62 billion in FY2023 (+29.9%), $1.25 billion in FY2022 (+26.6%) and $987.8 million in FY2021 (+109.2%).
- Quarterly EBITDA has moved between $196.9 million (Q2 2025) and $531 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 18.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2026 (growth of 160.6%); the worst was Q2 2025 (a decline of 49.3%).
- Per Business Quant data, IR's EBITDA in the three quarters before Q2 2026 was $426.6 million (Q1 2026), $531 million (Q4 2025) and $500 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Ingersoll Rand | 29.15 Bn | 24.35 Bn | 862.60 Mn | 513.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 513.10 Mn |
| Mar 31, 2026 | 426.60 Mn |
| Dec 31, 2025 | 531.00 Mn |
| Sep 30, 2025 | 500.00 Mn |
| Jun 30, 2025 | 196.90 Mn |
| Mar 31, 2025 | 422.50 Mn |
| Dec 31, 2024 | 502.40 Mn |
| Sep 30, 2024 | 480.60 Mn |
| Jun 30, 2024 | 388.70 Mn |
| Mar 31, 2024 | 410.40 Mn |
| Dec 31, 2023 | 450.80 Mn |
| Sep 30, 2023 | 434.10 Mn |
| Jun 30, 2023 | 384.20 Mn |
| Mar 31, 2023 | 354.30 Mn |
| Dec 31, 2022 | 377.70 Mn |
| Sep 30, 2022 | 305.00 Mn |
| Jun 30, 2022 | 301.90 Mn |
| Mar 31, 2022 | 265.50 Mn |
| Dec 31, 2021 | 252.20 Mn |
| Sep 30, 2021 | 266.40 Mn |
API Access
Ingersoll Rand EBITDA 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=ebitda&ticker=IR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();