Tootsie Roll Industries (TR) Receivables (2009 - 2026)
Tootsie Roll Industries (TR) posted Receivables of $57.39 million for Q2 2026, up 3.3% from $55.54 million a year earlier and up 22.1% from the prior quarter.
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Analysis
Tootsie Roll Industries (TR) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Tootsie Roll Industries' Receivables came in at $54.18 million, up 7.0% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In prior years, Tootsie Roll Industries' Receivables was $50.64 million in FY2024 (-21.8%), $64.73 million in FY2023 (+3.0%), $62.86 million in FY2022 (+6.8%) and $58.84 million in FY2021 (+30.5%).
- Quarterly Receivables has run from a low of $46.04 million in Q1 2025 to a high of $86.44 million in Q3 2022 over five years.
- On a year-over-year basis, Receivables has increased in each of the last five quarters, with an average decline of 2.5% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2022, with growth of 48.4%; the weakest was Q4 2024, with a decline of 21.8%.
- According to Business Quant data, Receivables for the three prior quarters was $46.99 million (Q1 2026), $54.18 million (Q4 2025) and $79.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 11.86 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 1.78 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 709.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 615.70 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Tootsie Roll Industries | 2.85 Bn | 2.24 Bn | 52.63 Mn | 57.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.39 Mn |
| Mar 31, 2026 | 46.99 Mn |
| Dec 31, 2025 | 54.18 Mn |
| Sep 30, 2025 | 79.46 Mn |
| Jun 30, 2025 | 55.54 Mn |
| Mar 31, 2025 | 46.04 Mn |
| Dec 31, 2024 | 50.64 Mn |
| Sep 30, 2024 | 77.91 Mn |
| Jun 30, 2024 | 52.61 Mn |
| Mar 31, 2024 | 50.67 Mn |
| Dec 31, 2023 | 64.73 Mn |
| Sep 30, 2023 | 85.68 Mn |
| Jun 30, 2023 | 56.98 Mn |
| Mar 31, 2023 | 63.10 Mn |
| Dec 31, 2022 | 62.86 Mn |
| Sep 30, 2022 | 86.44 Mn |
| Jun 30, 2022 | 49.01 Mn |
| Mar 31, 2022 | 56.09 Mn |
| Dec 31, 2021 | 58.84 Mn |
| Sep 30, 2021 | 84.27 Mn |
API Access
Tootsie Roll Industries Receivables 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=receivables&ticker=TR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();