Ingersoll Rand (IR) Amortization - Intangibles (2016 - 2026)
Ingersoll Rand (IR) reported Amortization - Intangibles of $102.6 million for Q2 2026, up 12.0% from $91.6 million a year earlier but down 4.6% from the prior quarter.
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Analysis
Ingersoll Rand (IR) Amortization - Intangibles (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ingersoll Rand's Amortization - Intangibles came in at $414.7 million, up 11.1% year-over-year; for FY2025, it was $387.5 million, up 3.9% from FY2024.
- Amortization - Intangibles has increased for four consecutive years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $373 million in FY2024 (+1.5%), $367.5 million in FY2023 (+5.7%), $347.6 million in FY2022 (+4.4%) and $332.9 million in FY2021 (-0.7%).
- Five-year quarterly Amortization - Intangibles spans a low of $80.3 million in Q3 2021 and a high of $109.7 million in Q4 2025.
- Year over year, Amortization - Intangibles has now increased in each of the last three quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q1 2026 (growth of 17.7%); the low point was Q3 2021 (a decline of 17.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $107.5 million (Q1 2026), $109.7 million (Q4 2025) and $94.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn |
| 10 | Ingersoll Rand | 28.75 Bn | 23.95 Bn | 862.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.60 Mn |
| Mar 31, 2026 | 107.50 Mn |
| Dec 31, 2025 | 109.70 Mn |
| Sep 30, 2025 | 94.90 Mn |
| Jun 30, 2025 | 91.60 Mn |
| Mar 31, 2025 | 91.30 Mn |
| Dec 31, 2024 | 95.20 Mn |
| Sep 30, 2024 | 95.00 Mn |
| Jun 30, 2024 | 91.20 Mn |
| Mar 31, 2024 | 91.60 Mn |
| Dec 31, 2023 | 93.20 Mn |
| Sep 30, 2023 | 92.20 Mn |
| Jun 30, 2023 | 89.70 Mn |
| Mar 31, 2023 | 92.40 Mn |
| Dec 31, 2022 | 84.00 Mn |
| Sep 30, 2022 | 93.80 Mn |
| Jun 30, 2022 | 83.60 Mn |
| Mar 31, 2022 | 86.20 Mn |
| Dec 31, 2021 | 88.10 Mn |
| Sep 30, 2021 | 80.30 Mn |
API Access
Ingersoll Rand Amortization - Intangibles 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=amortization-intangibles&ticker=IR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=IR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();