Tootsie Roll Industries (TR) Tax Provisions (2009 - 2026)
Tootsie Roll Industries (TR) posted Tax Provisions of $4.91 million for Q2 2026, down 43.3% from $8.66 million a year earlier and down 16.8% from the prior quarter.
Tootsie Roll Industries (TR) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Tootsie Roll Industries was $34.44 million, down 22.9% year-over-year; for FY2025, it was $37.25 million, down 7.0% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In prior years, Tootsie Roll Industries' Tax Provisions was $40.06 million in FY2024 (+43.0%), $28.01 million in FY2023 (+25.9%), $22.25 million in FY2022 (+9.0%) and $20.42 million in FY2021 (+18.1%).
- The Q2 2026 figure stands as the lowest quarterly Tax Provisions since Q2 2024.
- On a year-over-year basis, Tax Provisions increased in five of the last eight quarters, with growth averaging 26.4%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2024, with growth of 162.2%; the weakest was Q4 2025, with a decline of 50.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $5.9 million (Q1 2026), $10.67 million (Q4 2025) and $12.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 364.00 Mn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 130.62 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -916.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 122.80 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 63.50 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 103.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Tootsie Roll Industries | 2.85 Bn | 2.24 Bn | 52.63 Mn | 4.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.91 Mn |
| Mar 31, 2026 | 5.90 Mn |
| Dec 31, 2025 | 10.67 Mn |
| Sep 30, 2025 | 12.95 Mn |
| Jun 30, 2025 | 8.66 Mn |
| Mar 31, 2025 | 4.97 Mn |
| Dec 31, 2024 | 21.46 Mn |
| Sep 30, 2024 | 9.60 Mn |
| Jun 30, 2024 | 4.70 Mn |
| Mar 31, 2024 | 4.31 Mn |
| Dec 31, 2023 | 8.18 Mn |
| Sep 30, 2023 | 10.81 Mn |
| Jun 30, 2023 | 4.84 Mn |
| Mar 31, 2023 | 4.18 Mn |
| Dec 31, 2022 | 6.81 Mn |
| Sep 30, 2022 | 7.78 Mn |
| Jun 30, 2022 | 3.86 Mn |
| Mar 31, 2022 | 3.80 Mn |
| Dec 31, 2021 | 6.93 Mn |
| Sep 30, 2021 | 6.68 Mn |
Tootsie Roll Industries Tax Provisions 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=tax-provisions&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();