General Mills (GIS) Restructuring Costs (2009 - 2026)
General Mills' Restructuring Costs came in at $21.4 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 31.3% from $16.3 million a year earlier but down 99.2% from the prior quarter.
General Mills (GIS) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 30, 2026, General Mills reported Restructuring Costs of $2.98 billion; for FY2026 (ended May 31, 2026), it was $2.97 billion.
- Restructuring Costs carries a five-year compound annual growth rate of 77.1% (FY2021 to FY2026).
- Going back by fiscal year, Restructuring Costs was $78.3 million in FY2025 (-67.6%), $241.4 million in FY2024 (+329.5%), $56.2 million in FY2023 and -$26.5 million in FY2022.
- The five-year range for quarterly Restructuring Costs is -$31.6 million (fiscal Q4 2022) to $2.81 billion (fiscal Q4 2026).
- Year-over-year, Restructuring Costs increased in two of the last four quarters, with growth averaging 135.4%.
- The fastest year-over-year change in Restructuring Costs over five years came in fiscal Q1 2026 (growth of 640.9%), and the weakest in fiscal Q2 2025 (a decline of 99.0%).
- Business Quant data shows GIS's Restructuring Costs at $2.81 billion (Q4 2026), $24.4 million (Q3 2026) and $122.1 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 21.40 Mn |
| May 31, 2026 | 2.81 Bn |
| Feb 22, 2026 | 24.40 Mn |
| Nov 23, 2025 | 122.10 Mn |
| Aug 24, 2025 | 16.30 Mn |
| May 25, 2025 | 75.70 Mn |
| Feb 23, 2025 | -800,000.00 |
| Nov 24, 2024 | 1.20 Mn |
| Aug 25, 2024 | 2.20 Mn |
| May 26, 2024 | 110.80 Mn |
| Feb 25, 2024 | 5.80 Mn |
| Nov 26, 2023 | 123.60 Mn |
| Aug 27, 2023 | 1.20 Mn |
| May 28, 2023 | 42.10 Mn |
| Feb 26, 2023 | 1.40 Mn |
| Nov 27, 2022 | 11.10 Mn |
| Aug 28, 2022 | 1.60 Mn |
| May 29, 2022 | -31.60 Mn |
| Feb 27, 2022 | 7.10 Mn |
| Nov 28, 2021 | 2.30 Mn |
General Mills 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=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "GIS", "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=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();