Agco (AGCO) Restructuring Costs (2009 - 2026)
Agco's Restructuring Costs was $11.2 million in Q2 2026, down 28.2% from $15.6 million a year earlier but up 12.0% from the prior quarter.
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Analysis
Agco (AGCO) Restructuring Costs (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agco's Restructuring Costs was $74.8 million through Jun 30, 2026, down 56.0% year-over-year; for FY2025, it came in at $82.2 million, down 52.4% from FY2024.
- Restructuring Costs shows a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- In earlier years, Restructuring Costs was $172.7 million in FY2024, $11.9 million in FY2023 (+95.1%), $6.1 million in FY2022 (-60.1%) and $15.3 million in FY2021 (-22.3%).
- Quarterly Restructuring Costs has moved between $800,000 (Q2 2022) and $131 million (Q4 2024) over five years.
- Compared with a year earlier, Restructuring Costs has declined for five straight quarters, with an average decline of 36.5% over the last five quarters.
- The best year-over-year quarter for Restructuring Costs over five years was Q2 2023 (growth of 662.5%); the worst was Q2 2022 (a decline of 83.0%).
- Per Business Quant data, AGCO's Restructuring Costs in the three quarters before Q2 2026 was $10 million (Q1 2026), $44.9 million (Q4 2025) and $8.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 332.52 Bn | 304.21 Bn | 7.76 Bn |
| 2 | Amphenol | 193.86 Bn | 188.44 Bn | 3.55 Bn |
| 3 | Deere | 171.06 Bn | 139.16 Bn | 4.66 Bn |
| 4 | Eaton | 147.86 Bn | 145.04 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 118.14 Bn | 116.26 Bn | 2.25 Bn |
| 6 | 3M | 89.18 Bn | 70.58 Bn | 2.68 Bn |
| 7 | Emerson Electric | 88.91 Bn | 81.64 Bn | 2.66 Bn |
| 8 | Vertiv Holdings | 78.26 Bn | 68.88 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 78.18 Bn | 74.74 Bn | 1.90 Bn |
| 10 | Agco | 7.37 Bn | 4.54 Bn | 645.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.20 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 44.90 Mn |
| Sep 30, 2025 | 8.70 Mn |
| Jun 30, 2025 | 15.60 Mn |
| Mar 31, 2025 | 13.00 Mn |
| Dec 31, 2024 | 131.00 Mn |
| Sep 30, 2024 | 10.50 Mn |
| Jun 30, 2024 | 30.20 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 3.60 Mn |
| Sep 30, 2023 | 800,000.00 |
| Jun 30, 2023 | 6.10 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 1.70 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 800,000.00 |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 7.90 Mn |
| Sep 30, 2021 | 1.40 Mn |
API Access
Agco Restructuring Costs 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=restructuring-costs&ticker=AGCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();