Tootsie Roll Industries (TR) Cash & Equivalents (2009 - 2026)
Tootsie Roll Industries' Cash & Equivalents was $62.08 million in Q2 2026, down 48.5% from $120.52 million a year earlier and down 45.1% from the prior quarter.
Tootsie Roll Industries (TR) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Tootsie Roll Industries came in at $127.17 million, down 8.4% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $138.84 million in FY2024 (+82.9%), $75.92 million in FY2023 (+42.5%), $53.27 million in FY2022 (-49.7%) and $105.84 million in FY2021 (-36.6%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q2 2024.
- Compared with a year earlier, Cash & Equivalents has declined for four straight quarters, with growth averaging 43.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2025 (growth of 164.2%); the worst was Q1 2023 (a decline of 56.2%).
- Per Business Quant data, TR's Cash & Equivalents in the three quarters before Q2 2026 was $113.05 million (Q1 2026), $127.17 million (Q4 2025) and $78.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 331.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Tootsie Roll Industries | 2.82 Bn | 2.21 Bn | 52.63 Mn | 62.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.08 Mn |
| Mar 31, 2026 | 113.05 Mn |
| Dec 31, 2025 | 127.17 Mn |
| Sep 30, 2025 | 78.90 Mn |
| Jun 30, 2025 | 120.52 Mn |
| Mar 31, 2025 | 119.53 Mn |
| Dec 31, 2024 | 138.84 Mn |
| Sep 30, 2024 | 91.71 Mn |
| Jun 30, 2024 | 45.62 Mn |
| Mar 31, 2024 | 64.89 Mn |
| Dec 31, 2023 | 75.92 Mn |
| Sep 30, 2023 | 47.32 Mn |
| Jun 30, 2023 | 26.05 Mn |
| Mar 31, 2023 | 37.99 Mn |
| Dec 31, 2022 | 53.27 Mn |
| Sep 30, 2022 | 57.22 Mn |
| Jun 30, 2022 | 46.63 Mn |
| Mar 31, 2022 | 86.80 Mn |
| Dec 31, 2021 | 105.84 Mn |
| Sep 30, 2021 | 76.21 Mn |
Tootsie Roll Industries Cash & Equivalents 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=cash-and-equivalents&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();