Ingersoll Rand (IR) Buildings (2016 - 2025)
Ingersoll Rand's Buildings came in at $436.1 million for Q4 2025, up 13.1% from $385.6 million a year earlier.
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Analysis
Ingersoll Rand (IR) Buildings (2016 - 2025) Analysis & Trends
Going back to Q4 2016, Ingersoll Rand's Buildings data covers 10 quarters.
- Buildings has increased in each of the last three years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Buildings was $385.6 million in FY2024 (+14.4%), $337.1 million in FY2023 (+13.0%), $298.2 million in FY2022 (-0.7%) and $300.3 million in FY2021 (+7.9%).
- The Q4 2025 figure represents the highest quarterly Buildings in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 436.10 Mn |
| Dec 31, 2024 | 385.60 Mn |
| Dec 31, 2023 | 337.10 Mn |
| Dec 31, 2022 | 298.20 Mn |
| Dec 31, 2021 | 300.30 Mn |
| Dec 31, 2020 | 278.30 Mn |
| Dec 31, 2019 | 154.60 Mn |
| Dec 31, 2018 | 140.80 Mn |
| Dec 31, 2017 | 137.40 Mn |
| Dec 31, 2016 | 122.70 Mn |
API Access
Ingersoll Rand Buildings 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=buildings&ticker=IR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=IR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();