Tucows (TCX) Total Liabilities (2010 - 2026)
Tucows (TCX) posted Total Liabilities of $928.47 million for Q2 2026, up 7.5% from $863.87 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Tucows (TCX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Tucows' Total Liabilities came in at $895.11 million, up 4.8% from FY2024.
- Annual Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior years, Tucows' Total Liabilities was $854.1 million in FY2024 (+8.3%), $788.55 million in FY2023 (+38.8%), $568.09 million in FY2022 (+33.8%) and $424.5 million in FY2021 (+22.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 6.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 64.6%; the weakest was Q2 2024, with a decline of 0.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $910.57 million (Q1 2026), $895.11 million (Q4 2025) and $879.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 4.37 Bn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 10.32 Bn |
| 10 | Tucows | 107.03 Mn | -82.27 Mn | 25.78 Mn | 928.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 928.47 Mn |
| Mar 31, 2026 | 910.57 Mn |
| Dec 31, 2025 | 895.11 Mn |
| Sep 30, 2025 | 879.55 Mn |
| Jun 30, 2025 | 863.87 Mn |
| Mar 31, 2025 | 850.17 Mn |
| Dec 31, 2024 | 854.10 Mn |
| Sep 30, 2024 | 852.10 Mn |
| Jun 30, 2024 | 791.28 Mn |
| Mar 31, 2024 | 796.22 Mn |
| Dec 31, 2023 | 788.55 Mn |
| Sep 30, 2023 | 783.85 Mn |
| Jun 30, 2023 | 792.20 Mn |
| Mar 31, 2023 | 602.02 Mn |
| Dec 31, 2022 | 568.09 Mn |
| Sep 30, 2022 | 539.92 Mn |
| Jun 30, 2022 | 481.21 Mn |
| Mar 31, 2022 | 448.37 Mn |
| Dec 31, 2021 | 424.50 Mn |
| Sep 30, 2021 | 379.98 Mn |
API Access
Tucows Total 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-liabilities&ticker=TCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TCX", "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-liabilities&ticker=TCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();