Agco (AGCO) Research & Development (2009 - 2023)
Agco's Research & Development came in at $139.6 million for Q3 2023, up 33.3% from $104.7 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Agco (AGCO) Research & Development (2009 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2023, Agco reported Research & Development of $530.1 million, up 25.7% year-over-year; for FY2022, it came in at $444.2 million, up 9.5% from FY2021.
- Research & Development carries a five-year compound annual growth rate of 6.6% (FY2017 to FY2022).
- Going back by year, Research & Development was $405.8 million in FY2021 (+18.4%), $342.6 million in FY2020 (-0.2%), $343.4 million in FY2019 (-3.3%) and $355.2 million in FY2018 (+9.8%).
- The Q3 2023 figure represents the highest quarterly Research & Development in data going back to Q2 2009.
- Year-over-year, Research & Development has increased for five consecutive quarters, with growth averaging 16.2% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q2 2021 (growth of 41.4%), and the weakest in Q2 2020 (a decline of 13.4%).
- Business Quant data shows AGCO's Research & Development at $138.8 million (Q2 2023), $119.6 million (Q1 2023) and $132.1 million (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | - |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 227.00 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | - |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 302.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Agco | 8.23 Bn | 5.69 Bn | 645.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 139.60 Mn |
| Jun 30, 2023 | 138.80 Mn |
| Mar 31, 2023 | 119.60 Mn |
| Dec 31, 2022 | 132.10 Mn |
| Sep 30, 2022 | 104.70 Mn |
| Jun 30, 2022 | 107.10 Mn |
| Mar 31, 2022 | 100.30 Mn |
| Dec 31, 2021 | 109.50 Mn |
| Sep 30, 2021 | 92.80 Mn |
| Jun 30, 2021 | 107.20 Mn |
| Mar 31, 2021 | 96.30 Mn |
| Dec 31, 2020 | 99.90 Mn |
| Sep 30, 2020 | 82.00 Mn |
| Jun 30, 2020 | 75.80 Mn |
| Mar 31, 2020 | 84.90 Mn |
| Dec 31, 2019 | 89.10 Mn |
| Sep 30, 2019 | 82.30 Mn |
| Jun 30, 2019 | 87.50 Mn |
| Mar 31, 2019 | 84.50 Mn |
| Dec 31, 2018 | 88.00 Mn |
API Access
Agco Research & Development 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=research-and-development&ticker=AGCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "AGCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();