Tootsie Roll Industries (TR) Revenue (2009 - 2026)
Tootsie Roll Industries (TR) posted Revenue of $154.22 million for Q2 2026, down 0.6% from $155.09 million a year earlier but up 1.8% from the prior quarter.
Tootsie Roll Industries (TR) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Tootsie Roll Industries was $734.74 million, up 1.6% year-over-year; for FY2025, it was $732.52 million, up 1.3% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In prior years, Tootsie Roll Industries' Revenue was $723.22 million in FY2024 (-6.0%), $769.37 million in FY2023 (+12.0%), $686.97 million in FY2022 (+20.4%) and $570.78 million in FY2021 (+21.2%).
- Quarterly Revenue has run from a low of $140.64 million in Q1 2022 to a high of $249.85 million in Q3 2023 over five years.
- On a year-over-year basis, Revenue increased in four of the last eight quarters, with an average decline of 0.7%.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2022, with growth of 36.2%; the weakest was Q3 2024, with a decline of 9.6%.
- According to Business Quant data, Revenue for the three prior quarters was $151.54 million (Q1 2026), $196.28 million (Q4 2025) and $232.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 4.39 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 1.94 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.22 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Tootsie Roll Industries | 2.85 Bn | 2.24 Bn | 52.63 Mn | 154.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.22 Mn |
| Mar 31, 2026 | 151.54 Mn |
| Dec 31, 2025 | 196.28 Mn |
| Sep 30, 2025 | 232.71 Mn |
| Jun 30, 2025 | 155.09 Mn |
| Mar 31, 2025 | 148.46 Mn |
| Dec 31, 2024 | 193.37 Mn |
| Sep 30, 2024 | 225.93 Mn |
| Jun 30, 2024 | 150.74 Mn |
| Mar 31, 2024 | 153.18 Mn |
| Dec 31, 2023 | 197.28 Mn |
| Sep 30, 2023 | 249.85 Mn |
| Jun 30, 2023 | 160.15 Mn |
| Mar 31, 2023 | 162.09 Mn |
| Dec 31, 2022 | 189.72 Mn |
| Sep 30, 2022 | 213.17 Mn |
| Jun 30, 2022 | 143.44 Mn |
| Mar 31, 2022 | 140.64 Mn |
| Dec 31, 2021 | 167.92 Mn |
| Sep 30, 2021 | 184.17 Mn |
Tootsie Roll Industries Revenue 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=revenue&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "TR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();