Tootsie Roll Industries (TR) Return on Sales [ROS] (2009 - 2026)
Tootsie Roll Industries (TR) recorded Return on Sales [ROS] of -1.05% in Q2 2026, down 8.86 percentage points from 7.82% a year earlier and down 16.37 percentage points from the prior quarter.
Tootsie Roll Industries (TR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Tootsie Roll Industries' Return on Sales [ROS] came in at 11.89% as of Jun 30, 2026, down 3.21 percentage points year-over-year; for FY2025, it came in at 13.78%, down 0.12 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +1.42 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 13.90% in FY2024 (+0.66 pp), 13.24% in FY2023 (-2.89 pp), 16.12% in FY2022 (+4.36 pp) and 11.76% in FY2021 (-0.60 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q2 2009.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -0.63 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 12.83 percentage points in Q2 2022, against a drop of 9.60 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 15.32% (Q1 2026), 17.01% (Q4 2025) and 13.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 2.76% |
| 10 | Tootsie Roll Industries | 2.83 Bn | 2.22 Bn | 52.63 Mn | -1.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.05% |
| Mar 31, 2026 | 15.32% |
| Dec 31, 2025 | 17.01% |
| Sep 30, 2025 | 13.91% |
| Jun 30, 2025 | 7.82% |
| Mar 31, 2025 | 15.53% |
| Dec 31, 2024 | 20.02% |
| Sep 30, 2024 | 15.60% |
| Jun 30, 2024 | 10.24% |
| Mar 31, 2024 | 7.25% |
| Dec 31, 2023 | 14.39% |
| Sep 30, 2023 | 18.37% |
| Jun 30, 2023 | 9.21% |
| Mar 31, 2023 | 7.89% |
| Dec 31, 2022 | 14.42% |
| Sep 30, 2022 | 16.69% |
| Jun 30, 2022 | 18.81% |
| Mar 31, 2022 | 14.81% |
| Dec 31, 2021 | 12.01% |
| Sep 30, 2021 | 16.10% |
Tootsie Roll Industries Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();