Tootsie Roll Industries (TR) Total Current Liabilities (2009 - 2026)
Tootsie Roll Industries (TR) posted Total Current Liabilities of $115.77 million for Q2 2026, up 26.5% from $91.5 million a year earlier and up 27.8% from the prior quarter.
Tootsie Roll Industries (TR) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tootsie Roll Industries' Total Current Liabilities came in at $98.45 million, up 12.8% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In prior years, Tootsie Roll Industries' Total Current Liabilities was $87.29 million in FY2024 (-8.0%), $94.89 million in FY2023 (+5.3%), $90.13 million in FY2022 (+12.7%) and $79.97 million in FY2021 (+14.2%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2026, with growth of 26.5%; the weakest was Q1 2025, with a decline of 10.4%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $90.59 million (Q1 2026), $98.45 million (Q4 2025) and $107.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Tootsie Roll Industries | 2.85 Bn | 2.24 Bn | 52.63 Mn | 115.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.77 Mn |
| Mar 31, 2026 | 90.59 Mn |
| Dec 31, 2025 | 98.45 Mn |
| Sep 30, 2025 | 107.02 Mn |
| Jun 30, 2025 | 91.50 Mn |
| Mar 31, 2025 | 78.18 Mn |
| Dec 31, 2024 | 87.29 Mn |
| Sep 30, 2024 | 95.72 Mn |
| Jun 30, 2024 | 86.76 Mn |
| Mar 31, 2024 | 87.27 Mn |
| Dec 31, 2023 | 94.89 Mn |
| Sep 30, 2023 | 105.63 Mn |
| Jun 30, 2023 | 91.00 Mn |
| Mar 31, 2023 | 77.33 Mn |
| Dec 31, 2022 | 90.13 Mn |
| Sep 30, 2022 | 101.52 Mn |
| Jun 30, 2022 | 82.47 Mn |
| Mar 31, 2022 | 80.26 Mn |
| Dec 31, 2021 | 79.97 Mn |
| Sep 30, 2021 | 94.64 Mn |
Tootsie Roll Industries Total Current Liabilities 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=total-current-liabilities&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();