Tucows (TCX) Total Current Liabilities (2010 - 2026)
Tucows' Total Current Liabilities came in at $345.68 million for Q2 2026, up 72.3% from $200.62 million a year earlier and up 2.5% from the prior quarter.
Tucows (TCX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Tucows' Total Current Liabilities was $330.43 million, up 65.3% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $199.85 million in FY2024 (-0.7%), $201.34 million in FY2023 (+7.0%), $188.19 million in FY2022 (+8.4%) and $173.68 million in FY2021 (+6.6%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q2 2022.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 25.7% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 148.3%), and the weakest in Q2 2023 (a decline of 54.2%).
- Business Quant data shows TCX's Total Current Liabilities at $337.1 million (Q1 2026), $330.43 million (Q4 2025) and $194.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 168.83 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 35.91 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 2.63 Bn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 3.82 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 2.39 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 20.92 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 1.90 Bn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 1.68 Bn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 2.84 Bn |
| 10 | Tucows | 107.03 Mn | -82.27 Mn | 25.78 Mn | 345.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 345.68 Mn |
| Mar 31, 2026 | 337.10 Mn |
| Dec 31, 2025 | 330.43 Mn |
| Sep 30, 2025 | 194.55 Mn |
| Jun 30, 2025 | 200.62 Mn |
| Mar 31, 2025 | 192.97 Mn |
| Dec 31, 2024 | 199.85 Mn |
| Sep 30, 2024 | 198.87 Mn |
| Jun 30, 2024 | 204.19 Mn |
| Mar 31, 2024 | 208.19 Mn |
| Dec 31, 2023 | 201.34 Mn |
| Sep 30, 2023 | 188.38 Mn |
| Jun 30, 2023 | 194.13 Mn |
| Mar 31, 2023 | 192.12 Mn |
| Dec 31, 2022 | 188.19 Mn |
| Sep 30, 2022 | 185.95 Mn |
| Jun 30, 2022 | 423.80 Mn |
| Mar 31, 2022 | 182.84 Mn |
| Dec 31, 2021 | 173.68 Mn |
| Sep 30, 2021 | 168.38 Mn |
Tucows 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=TCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=TCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();